April 30, 2026For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.
strong>SynergisticIT works with clients hiring for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts, data engineers, data scientists, and machine learning engineers. Interview success improves when you can demonstrate not only coding ability, but also the “end-to-end” thinking employers want: APIs, backend design, database decisions, cloud deployment, CI/CD, and real project narratives..
ul>Certification in Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
Implementing data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow and other relevant services • Designing and managing data warehouses and data lakes, verifying data is organized and accessible • Monitoring and troubleshooting data pipelines, data warehouses and workflows to verify data quality, system reliability, performance and cost management • Implementing IAM roles and policies to manage access and permissions within AWS, Azure, GCP • Use AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments • Use AWS, Azure and GCP DevOps services to build and deploy DevOps pipelines • Implementing data security practices using AWS, Azure, GCP, Snowflake or Databricks • Improving Cloud resources for cost, performance, and scalability • Proficiency in SQL and experience with relational databases • Proficient in programming languages such as Python, Java, or Scala • Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus • Experience with machine learning and data science workflows is a plus • Knowledge of data governance and data security practices • Demonstrating analytical, problem-solving, and communication skills • Having the ability to work independently and as part of a team in a fast-paced environment • Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures • Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback • Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment • Coaching and collaborating with associates who assist with this work, including providing coaching, feedback and guidance on work performance. • Certification in Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus • Designing and implementing thorough data architecture strategies that meet the current and future business needs • Developing and documenting data models, data flow diagrams, and data architecture guidelines • Verifying data architecture is compliant with data governance and data security policies • Collaborating with business stakeholders to understand their data requirements and translate them into technical solutions • Evaluating and recommending new data technologies and tools to enhance data architecture • Building, maintaining, and improving ETL/ELT pipelines for data ingestion, processing, and storage across batch and real-time data processing • Building, maintaining, and improving Data Quality rules leveraging DQ tools and/or other ETL/ELT tools • Developing and deploying scalable data storage solutions using AWS, Azure and GCP services such as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud Storage etc.
p>PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. - Preference for at least one of the following fields of study: Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Operations Management/Research, Statistics, Engineering.
p>PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. - Preference for at least one of the following fields of study: Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Operations Management/Research, Statistics, Engineering.
p>PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. - Preference for at least one of the following fields of study: Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Operations Management/Research, Statistics, Engineering.
p>Work-At-Home Requirements: To ensure Home or Hybrid Home/Office associates' ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office associates must meet the following criteria:
- At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended; wireless, wired cable or DSL connection is suggested.
You will collaborate with business and technical partners to deliver reliable, compliant, and test-ready data assets, while identifying opportunities to improve data generation, validation, and integration processes.
For over 25 years, we have connected thousands of consultants with meaningful roles through a personal, communication-driven approach, partnering with a diverse client base to build high-performing teams and create lasting impact. Evaluates and implements data architecture solutions, including optimization or alternatives to the current AWS environment, and partners cross-functionally to deliver reliable insights and enterprise technology enablement.
li>Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes. Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management.
ul>Hybrid Data Pipeline Execution: Design and implement robust ETL/ELT pipelines to ingest data from legacy on-prem sources, AWS (S3/RDS), and Azure (Blob/SQL), centralizing it for consumption in Snowflake and AI services. Snowflake Power-User Execution: Act as the technical lead for our Snowflake data warehouse, implementing sophisticated data modeling, Snowpipe automation, and compute optimization to support high-concurrency AI workloads.
Louisville, KY30+ days ago
p>PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients.
li>Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes. You will support a Data & Analytics Foundry across numerous business product teams (scaled program with ~235 onshore/offshore resources), building reliable pipelines and curated datasets for analytics and downstream consumption.
p>The Lead Data Engineer is also the Market BI team's primary IT partner for data platform enablement improving data access patterns, strengthening pipeline governance, and helping establish a maintainable approach to Databricks pipelines and workflows as the market matures its analytics capabilities. As a values-based organization devoted to building vibrant and inclusive communities, Inclusa deploys a unique approach to managed care with a trademarked model of support named Commonunity which focuses on the belief in everyone, and from that belief, the common good for all is achieved.
li>Experience supporting governance, risk, and compliance workflows, including risk reporting, audit data requests, controls monitoring, controls testing, compliance metrics, governance, risk, and compliance tool integrations, and large language model-enabled applications using retrieval-augmented generation, vector or hybrid retrieval, tool or function calling, evaluation or monitoring, prompt-injection defenses, and secure access patterns. Developing AI-enabled capabilities that accelerate governance, risk, and compliance and cyber operations, including evidence summarization, control testing assist, policy question-and-answer, investigation copilots, ticket triage, and exception reasoning using agentic patterns, workflow orchestration, and retrieval-augmented generation.
Develops software tools that leverage artificial intelligence, machine learning, and big-data techniques to cleanse, organize, and transform data into insights and actions that enables Humana to better serve our members. The Senior Data Engineer Designs, builds, and maintains data processing architectures and solutions enabling the efficient conversion of structured and unstructured data to insights at enterprise scale.
Louisville, KY30+ days ago
li>10 years of experience in data and analytics management with at least 8 years of experience of leading various data and analytics program/initiatives of large sizes with 3 years experience managing and delivering Managed Data and Analytics programs (Managed services and Managed assets). PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
Louisville, KY30+ days ago
p>PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. You are expected to focus on building client relationships and developing a deeper understanding of the business context, while navigating increasingly complex situations and growing your personal brand and technical proficiency.
Louisville, KY15 days ago
li>7+ years of experience implementing modern data solutions using Cloud-based solutions and technologies - AWS developer environment including, but not limited to, Lambda, API Gateway, Security Groups, IAM Roles, Aurora (mySQL/Postres), S3, Cloudwatch, Secrets Manager. Deep knowledge and experience with modern database technologies, platforms, and solutions including, but not limited to S3, Aurora, Python, Postgres, RDS, RDS Proxy, RedShift, NoSql databases, DynamoDB, etc.
Louisville, KY10 days ago
p>Stock Yards Bancorp, Inc. (NASDAQ: SYBT), parent company of Stock Yards Bank & Trust Company, with offices in Louisville, Central, Eastern and Northern Kentucky, as well as the Indianapolis, Indiana and Cincinnati, Ohio metropolitan markets. This role involves designing and implementing ETL processes, ensuring data quality and integrity, and developing robust data models to support comprehensive reporting and analytics needs.
p>5+ years of applicable work experience Proficiency in Python, specifically with ETL pipelines Strong proficiency in SQL and experience in developing complex queries Familiarity with pySpark, DBT, or other similar frameworks Experience deploying data pipelines in a cloud environment (Azure, AWS, GCP) Understanding of data warehousing concepts, dimensional modeling, and building data marts Excellent communication and interpersonal skills, with the ability to collaborate effectively with data scientists, analysts, and product owners. Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.
li>Managing development teams in building healthcare AI and GenAI solutions, including analytical modeling, prompt engineering, Python-based development, testing, communication of results to clinical and operational stakeholders, front-end and back-end integration, and iterative use case development with health system clients;
Documenting and analyzing healthcare business processes - across clinical operations, and population health programs - to identify AI and GenAI opportunities, gather requirements, define initial hypotheses, and develop solution approaches tailored to health system workflows;
Collaborating with health system client teams - including clinical informatics, population health, and IT leaders - to understand their business and clinical problems and select the appropriate models, LLMs, and approaches for AI/GenAI use cases;
Designing and solutioning AI/GenAI architectures for health system clients, including RAG-based clinical knowledge retrieval systems, agentic AI workflows for care management and revenue cycle automation, and custom LLM application builds with appropriate PHI safeguards;
Managing teams to process healthcare unstructured and structured data - including clinical notes, discharge summaries, claims records, EHR data, and ADT feeds - for use as LLM context, including embedding of large clinical text corpora, generative SQL query development, and building connectors to EHR back-end databases;
Managing daily operations of a global healthcare data science team on client engagements, reviewing developed models, providing feedback, and assisting in analysis of clinical and operational outcomes;
Directing data engineers and other data scientists to deliver efficient, HIPAA-compliant solutions that meet health system client requirements for clinical, financial, and operational AI use cases;
Leading and contributing to development of proof of concepts, pilots, and production use cases for health system clients - spanning clinical decision support, prior authorization automation, patient risk scoring, workforce optimization, and throughput modeling - while working in cross-functional teams;
Facilitating and conducting executive-level presentations to health system leadership showcasing GenAI and ML solution capabilities, use case development progress, model performance, and recommended next steps;
Structuring, writing, communicating, and facilitating client presentations that translate complex AI and ML concepts into clear clinical and business value narratives for health system audiences; and,
Managing associates and senior associates through coaching, providing feedback, and guiding work performance, with an emphasis on developing healthcare domain knowledge alongside technical AI and ML capabilities. You will architect and build production-grade RAG pipelines, MCP connections, agentic AI workflows, and MLOps frameworks, managing daily operations across global delivery teams while engaging health system leaders at the executive level to ensure measurable clinical and operational impact.
Build Data Platforms: Independently design and maintain internal React (TypeScript) interfaces and Python backend services that automate data ingestion and discovery, reducing lead times for application teams from weeks to minutes. As a Staff Data Engineer, you will: Architect Petabyte Pipelines: Engineer scalable, reliable, and performant data pipelines to assemble large and intricate datasets using SQL, DBT, and Snowflake, ensuring high data availability and integrity.
Lexington, KY30+ days ago
Today, as an affiliate of Aramco, one of the world's largest integrated energy and chemicals companies, we are driven by innovation and committed to creating sustainable solutions for a better future. The ideal candidate will have strong experience designing and developing scalable data pipelines, integrating complex systems, and optimizing data workflows.
Work At Home, KY18 days ago
Managing and designing ETL system to ingest and transform data for purposes of analysis and reporting; ensures monitoring, alerting, and high availability of the system to all data consumers both internal and external. Confidence and excitement around designing and improving ETL systems with associated methodology and approach required; experience building ETL systems a plus.
Erlanger, Kentucky30+ days ago
As an IT Senior Data Platform Engineer at Fischer Homes, you will serve as the technical owner of our enterprise data platform, ensuring the performance, availability, security, and modernization of our SQL Server and cloud database environments. Lead the transition from self-managed SQL Server environments to managed cloud database services such as Amazon RDS for SQL Server and Azure SQL Managed Instance.
Louisville, KY30+ days ago
This would include the complete engineering of data centers including, but not limited to, infrastructure, overhead and underfloor racking, cabinets, network and server equipment, cable distribution, power (AC or DC), Cold Aisle Containment solutions, etc. Ability to read, analyze, and interpret the most complex of documents, including technical specifications, white papers, data center drawings and documents.
p>PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. - Preference for at least one of the following fields of study: Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Operations Management/Research, Statistics, Engineering.
Louisville, KY30+ days ago
Possible Locations: Atlanta, Austin, Baltimore, Boston, Charlotte, Chicago, Cincinnati, Cleveland, Columbus, Costa Mesa, Dallas, Denver, Detroit, Hartford, Houston, Indianapolis, Jacksonville, Kansas City, Las Vegas, Los Angeles, McLean, Miami, Milwaukee, Nashville, New Orleans, New York, Philadelphia, Pittsburgh, Portland, Raleigh, Richmond, Sacramento, San Antonio, San Diego, San Francisco, San Jose, Seattle, St. Louis, Stamford, Tampa, Tempe. This role is hands-on and delivery-oriented: you will ship production pipelines and services that support model training, real-time inference, and LLM applications using Claude-, GPT/Codex-, and Gemini-class models, and more implemented with strong governance, observability, and cost/performance discipline.
p>Key Result Areas (KRAs): Assess, design, build, and maintain the data pipelines that enables Dutch Bros teams to collect, store, process, and analyze vast amounts of data efficiently and effectively:
Seamless Snowflake Implementation: Successfully develop and deploy production-grade data solutions on Snowflake, databricks or similar tools Optimized Data Pipelines: Design and enhance ETL/ELT pipelines and datatransformations for efficiency, supporting advanced analytics and real-time dataprocessing with technologies such as Kafka, fivetran, databricks , and Matillion or leveraging pyspark. The ideal candidate will have extensive experience in Snowflake database administration, data modeling, database migration, and is responsible for designing, building, and maintaining data cloud platforms that enable us to collect, store, process, and analyze vast amounts of data efficiently and effectively.
You will guide our transition from SQL Server to Snowflake, mentor engineers, establish engineering best practices, and collaborate closely with stakeholders to deliver reliable, enterprise grade data solutions. You will lead the creation of a unified ingestion framework into Snowflake-building scalable, repeatable, and high performance patterns that power analytics and data products across the organization.
p>Requirements: • Willingness to work with customers, managers, and executives of varying levels of technical expertise while always maintaining a professional attitude • Self-motivated with ability to prioritize and succeed with varying degrees of requirements • Excellent oral and written communication and problem-solving skills • Minimum of 8 years ETL and Data Warehousing experience • 2+ years of experience with C# / .Net C# Programming • Advanced T-SQL and ETL experience extracting data from databases, flat files, and Excel • Complex problem solving and analytical thinking • Excellent oral and written communications, including the ability to translate technical information for a business audience • Significant Database Tuning Experience • Ability to lead testing initiatives for releases as needed • Experience in supporting multiple products/projects simultaneously • Project management skills. As a knowledgeable developer in data integration, this individual will support the delivery of accurate and timely accounting/financial data for strategic decision support as a member of the enterprise data team.
We advise, design, implement, and deploy innovative and technology enabled solutions focused on "heart of the business" issues in specific sectors including Health Care & Life Sciences, Digital Banking & Payments, Investment & Wealth Management, Insurance, Telecom, Media and Energy & Resources. AI & Engineering (AI & E) team delivers market leading expertise and industry depth by harnessing deep sector knowledge, scaling the power of hybrid services and products, and unlocking the power of Process Bionics to deliver sustainable and impactful solutions to our clients.
p>Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Calvert City, KY30+ days ago
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5+ years of experience in data engineering or business intelligence roles working with ETL, data modeling, data architecture, and developing pipelines and applications for analytics (e.g., BI, reporting, machine learning, deep learning). Meanwhile, from a regional perspective, both The Boston Globe and Louisville Business First also recognized our unwavering commitment to upholding an internal culture of inclusivity, enjoyment, and empathy for our valued employees by listing The Phia Group in their respective lists for the Top Places to Work in 2026.
Field, Illinois30+ days ago
Work spans modern healthcare data platforms and AI engineering, including medallion architecture (bronze/silver/gold), Delta Lake, T-SQL ETL, and natural language AI capabilities such as NLP/NLU, retrieval-augmented generation (RAG), document-level LLM extraction, and agentic frameworks applied to EHR/EMR, practice management (PM), pharmacy, claims, and clinical note data. Specialty Networks' PPS Analytics platform analyzes data from electronic medical records (EMR), practice management, imaging, and dispensing systems and transforms it into meaningful and actionable insights for providers and other stakeholders by using artificial intelligence and modern data analytics capabilities.
Requires BS/BA in information Technology or related field of study and a minimum of 8 years experience in systems administration and security aspects of information systems, access management and network security technologies, network communications, computer networking, telecommunications, systems development and management, hardware, software, data, and people; experience with multiple technical and business disciplines required; or any combination of education and experience, which would provide an equivalent background. + Must be capable of providing top-tier support for 5 or more of the information security technology common body of knowledge skill sets: 1) Access Control, 2) Application Security, 3) Business Continuity and Disaster Recovery Planning, 4) Cryptography, 5) Information Security and Risk Management 6) Legal, Regulations, 7) Compliance and Investigations, 8) Operations Security, 9) Physical (Environmental) Security, 10) Security Architecture and Design, 11) Telecommunications and Network Security.
Job Description: The Data & AI Solution Engineer operates within the Data Intelligence team and is responsible for designing, building, and operating enterprise-grade data, integration, and AI-enabling solutions across Flexential. This role extends beyond traditional data engineering to include system-to-system integration using Boomi, orchestration of business-critical workflows, and active participation in the design and delivery of AI-enabled solutions.