The IE Data Engineer strengthens manufacturing performance by developing reliable data processes, analytics, dashboards, and digital solutions that improve visibility, decision-making, and operational execution. Strong analytical problem-solving skills, ability to work cross-functionally in a fast-paced environment, and highly comfortable engaging directly with operations teams on the production floor.
In addition to delivering innovative solutions for Accenture's clients, you will work with a highly skilled, diverse network of people across Accenture businesses who are using the latest emerging technologies to address today's biggest business challenges. Your day-to-day activities will include creating data pipelines, ensuring data quality, and implementing extract, transform, and load processes to migrate and deploy data across various systems.
This team is responsible for the day-to-day operational health of Change Data Capture feeds, business event streams, Kafka topics, Snowpipe ingestion, and shared data services that enterprise data products depend on.
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. You will manage day-to-day delivery with an onshore/offshore team, partnering with data science, ML engineering, and product stakeholders to translate use cases into production-ready pipelines and platforms with strong data governance, lineage, quality controls, and monitoring.
Architect and oversee the delivery of scalable data pipelines, ingestion frameworks, and transformation processes using Snowflake, Python, Spark, Informatica (PowerCenter/IDMC), AWS Glue, and cloud-native tooling. As a senior engineer, you will define architectural patterns, mentor engineering teams, and ensure the successful execution of strategic data initiatives that support analytics, reporting, and business intelligence efforts across the organization.
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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.
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.
Collaborating with our database administration team and cross-functional partners, you'll help design, implement, and optimize the data infrastructure that drives our business decisions and operations.
The role will be responsible for the infrastructure and operations of the organizations data storage solutions, third-party integrations data provisioning services and overall ETL/ELT code-based solutions and tooling that process data. Akumin is a leading provider of outpatient radiology and oncology services, partnering with top hospitals and health systems nationwide to deliver advanced diagnostic imaging and exceptional patient care close to home.
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em> Hands‑on data engineering experience with cloud data platforms, including: Spark‑based ingestion and processing Python / PySpark Kafka, Flink, and Spark Streaming 3+ years of experience designing and building data lakehouse architectures, including: Google Cloud Storage BigQuery Dataproc Cloud Composer / Airflow Demonstrable, recent experience with AI‑driven data engineering, including: LangChain LangGraph / ADK Agentic frameworks RAG / GraphRAG MCP‑based agent architectures Ability to operate and lead within a matrixed, Agile environment. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA.
EDUCATION AND/OR EXPERIENCE: Bachelor's degree in Computer Science, MIS, Mathematics, Information Management or related field of study; plus a minimum of 4 years of progressively responsible related experience; or equivalent combination of education and/or experience. GENERAL PURPOSE OF THE JOB: The Senior Data Engineer designs, developments and implements data architectures and processes, particularly related to building and maintaining a centralized data platform.
Work with senior engineers to design and develop data pipelines that extract data from various sources, transform it into the desired format, and load it into the appropriate data storage systems. Determine data tracking and storage needs, perform data auditing and validation, perform data mapping, loading and conversion planning, and resolve data issues or discrepancies.
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.
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.
p style="margin:0px">Nonimmigrant Workers and Green Card for Employment-Based Immigrants.
Wichita, KS: $110,000 - $135,000 / year Des Moines, IA: $115,000 - $145,000 / year Charlotte, NC/Raleigh, NC: $120,000 - $150,000 / year Chicago/Minneapolis: $130,000 - $170,000 / year Los Angeles/New York City: $140,000 - $180,000 / year Time Off Program Flexible Time Off (FTO) is provided to salaried (exempt) employees and provides the opportunity to take time away from the office with pay for vacation, personal or short-term illness. Salary Range (Non-Exempt expressed as hourly; Exempt expressed as yearly) $110000 - $180000 / year Salary Details The following locations are examples of market-specific salary ranges across different geographies.
Pella is consistently recognized as a great place to work by Newsweek, Forbes and Glassdoor, having most recently been named to America's Greatest Workplaces for Diversity by Newsweek in 2024, as well as Forbes'' 2024 Best Employers for Women and Best-In-State Employer in Iowa. This individual will work cross-functionally with the Digital team, Marketing team, and Pro CX team to support a wide range of analytics needs, including digital performance measurement, customer journey analysis, and marketing effectiveness.
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.
Work with senior engineers to design and develop data pipelines that extract data from various sources, transform it into the desired format, and load it into the appropriate data storage systems. Determine data tracking and storage needs, perform data auditing and validation, perform data mapping, loading and conversion planning, and resolve data issues or discrepancies.
p>Required skills: The primary responsibility of this role is to develop AWS solutions for data acquisition, data transformation, and data modeling for our client's projects.
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.
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.
p>Essential Functions: Develops, tests, and maintains complex prioritized engineering (design/build/test) work as a member of a data analytics product pipeline architecture and infrastructure team:
ul> 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.
Who You Are Bachelor''s degree or a Master''s degree in a related field Proficiency in SQL, Python and version control tools like GitHub Basic planning, organizational, problem-solving, analytical, decision-making and communication skills Highly self-motivated with excellent time management skills Ability to provide on-call support Skills That Will Help You Stand Out Experience with Snowflake and AWS services Ability to work directly with data and datastores through programming languages such as SQL, Python, etc. You will: Work hands-on with cutting-edge data platforms and AI-enabled technologies Collaborate with teams across the company to solve real business problems Curate and connect data for a global workforce of 20,000+ employees Explore new and creative use cases for workforce and employee data Develop AI agents and tools that help leaders and employees get answers faster Every dataset you touch has a real outcome-helping someone make a better decision, faster.
Certification in Cloud Platforms [e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making.
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. As a Manager, you will supervise, develop, and coach teams while managing client service accounts and driving engagement workstreams, delivering quality deliverables that meet client expectations.
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. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making.
Design and develop ETL pipelines that consolidate data from various source systems into a unified data platform, including defining source-to-target mappings, business rules, and any necessary data transformations. Basic Qualifications: Bachelor's degree or equivalent experience in Math, Computer Science, Information Systems, Finance, Accounting, Economics, Health Informatics, Health Information Management, Public Health, Healthcare Administration, Biostatistics or Analytics.
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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.
li> Design and implement scalable data ingestion and transformation frameworks using Azure services enabling structured, semi-structured, and unstructured data to be efficiently processed and integrated into enterprise data platforms. Hands-on experience implementing and optimizing data solutions using the Medallion Architecture (Bronze, Silver, Gold layers) for scalable and structured data processing.
p>This role involves collaborating with other engineering teams, financial analysts, and product owners, taking ownership of the team's work, and influencing the technical strategy and architecture of the platform. Data Pipeline Development: Oversee the design and buildout of ETL/ELT data pipelines to ingest, process, and transform large datasets from multiple sources.
p>Education: Bachelor’s degree in Business Administration, Computer Science, Management Information Systems, or related field; or equivalent combination of education and experience. Serves as an advanced analytical resource responsible for defining data requirements, validating enterprise data solutions, and ensuring alignment between business objectives and technical implementation.
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.
p>You Are: The Accenture Life Insurance and Annuity Industry Data Product Lead will drive the development and delivery of the ALIP data analytics and insight solution-a cornerstone of our value proposition to ALIP clients. Our team of over 975 Life and Annuity industry professionals is helping some of the most recognized insurance brands drive growth with digital innovation, platform modernization, improved product distribution, and personalized customer experiences.
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.