UNKNOWN

FEED

Additional Responsibilities: The Research Software and Data Engineer will work with other team members to offer a wide range of related training workshops and to help bring a mature project management approach to research software work on campus, contributing toward software design and project planning and tracking. Primary Responsibilities: The Research Software and Data Engineer''s primary responsibilities will be to work with researchers to design, plan, and implement secure, compliant, and well-engineered software, data workflows, and data science-focused solutions that enrich research productivity, reliability, and reproducibility.

YEAR

University of Maryland

Research Software and Data Engineer

Overview: We are seeking a senior technical leader to define and drive the technical vision for integrating multiple independent applications, services, and data initiatives into a cohesive, scalable platform. This role will serve as the primary technical authority responsible for architectural decisions, integration strategy, and system-level design across frontend, backend, and data science efforts.

PRESCIENT EDGE CORPORATION

Senior Data Engineer

Implement data governance and fine-grained access control using AWS-native services, including AWS Lake Formation, AWS Glue Data Catalog, AWS Identity and Access Management (IAM), AWS Key Management Service (KMS), and related security services. Experience with AWS Step Functions, Amazon Managed Workflows for Apache Airflow (MWAA), Amazon Kinesis, AWS Database Migration Service (DMS), AWS Lambda, Amazon MSK, or similar ingestion and orchestration services.

Guidehouse Inc

AWS Lakehouse Data Engineer

3. Strong knowledge of Extraction, Transformation and Loading (ETL) processes using frameworks like Azure Data Factory, Synapse, Databricks, Informatica by gathering requirements from the stake holders or analyzing the existing code and perform enhancements or new development. POSITION DESCRIPTION DIRECT CLIENT Position Number of positions:1 Length: 12 Months+ Work Address: Washington DC 20003 Immediate interviews Webcam Please Note this position is ONSITE The ETL data engineer will support the Enterprise Data team for data curation, processing, and transformation tasks.

Advanced American Technologies, Inc

ETL Data Engineer with Min 15yrs exp (Webcam Interview)(ONSITE_only Local to DMV Area)

Ceipal

SUNet is a unique IL5-approved, off-DODIN environment that enables government organizations and commercial technology partners to securely access Department of Defense data and supporting resources for the development, testing, and evaluation of artificial intelligence and autonomous models. The individual will work closely with government customers, AI/ML developers, commercial vendors, systems engineers, cybersecurity personnel, and other technical stakeholders to ensure mission data is available to authorized users when and where it is needed.

ECS was founded in 2001 by experienced IT professionals with a commitment to quality processes, people and performance. Led by our Chairman, Roy Kapani, and an experienced executive leadership team, ECS provides our customers with solutions and services that support their critical needs and further mission objectives. This commitment has paved the way for expansive growth, year over year.
 
ECS gained market share in 2011 in the Department of Defense and Federal spaces through both organic and acquisition growth. In May, ECS completed its first strategic acquisition with the purchase of OAK Management, Inc., a leading provider of marine environmental services, ship systems engineering, maritime consulting and platform acquisition management. The OAK acquisition kicked off ECS’ intention to add tactical acquisitions as a part of its long term strategy to supplement and expand upon organic growth and to build enterprise value. ECS closed out 2011 with the acquisition of Paradigm Technologies, Inc. The Paradigm transaction added approximately 200 employees to ECS’ existing 900+ employees. Paradigm also added new Defense clients for ECS, including the Missile Defense Agency, the Navy’s Program Executive Officer for Integrated Warfare Systems, the United States Marine Corps, and the U.S. Marshals Service.
 
In 2012, ECS completed the acquisition of iLuMinA Solutions, Inc. iLuMinA brings large-scale Enterprise Resource Planning (ERP) software implementation and infrastructure design and development to ECS’ expanding capabilities.
 
ECS will continue to invest in corporate infrastructure and quality processes as we grow and enhance our ability to offer professional excellence to both our customers and our employees.

ECS Federal LLC

Data Engineer

You should be comfortable working with large and complex financial datasets, developing data pipelines and transformation processes, identifying data quality issues, and partnering with stakeholders to translate financial requirements into scalable technical solutions. SMALL TEAM, BIG RESULTS People come to Silverthorne when they are ready to do things differently—to start just by listening, to put clients first, and to sweat the details, because the little stuff really is big stuff.

Silverthorne Advisory Group

Senior Financial Data Engineer

Design, build, and maintain scalable data pipelines, ETL/ELT workflows, and data models using Python, Apache Spark (PySpark), dbt, SQL (PostgreSQL), and AWS Glue . Strong hands-on experience with: Apache Spark (PySpark) , Python , SQL (PostgreSQL) , and dbt for large-scale data engineering, ETL/ELT development, data transformation, and data modeling.

Capital Technology Group

GreenHouseAPI

In this role, you will: Data Pipeline Development: Build, maintain, and scale data pipelines that ingest data from first-party (Leo catalog, order management), second-party (Amazon Web Services (AWS) services), and third-party sources (Salesforce, Marketo) into a unified data lake. As a central team, we establish the infrastructure, analytics capabilities, and generative artificial intelligence (GenAI)-powered tools that enable every Leo team - from business operations to customer support to capacity planning - to make data-driven decisions and deliver exceptional customer experiences.

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life. 
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet. 
It’s Always Day 1 
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter <a href="https://hiring.amazon.com/why-amazon/culture#/">here</a> 
Our Leadership Principles 
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit <a href="https://www.amazon.jobs/principles" target="_blank">https://www.amazon.jobs/principles</a>

Amazon.com Inc

Data Engineer, Leo Global Business and Customer Operations

We also offer a comprehensive benefits package, which includes a range of competitive healthcare options, insurance, and disability benefits, employee stock investment program, learning resources, career development programs, reimbursement for certain education expenses, paid time off (vacation / holidays / sick / leave / parental & caregiving leave / bereavement / volunteering / floating holidays) and a motivational wellbeing program. Build and own data products with clearly defined SLAs, quality metrics, and consumer-facing interfaces (APIs, reports, or datasets) used for sales and analytics decision making.

Franklin Resources Inc

Qualifications: for the Data Engineer include: Bachelor's Degree in Computer Science, Software Engineering, or a related engineering discipline with 4+ years of experience in data modeling, data integration, and data solution development. Knowledge of modern data platforms and tools including Snowflake, Databricks, Kafka, Airflow, dbt, Fivetran, Power BI, Tableau, Looker, and cloud-based data architectures.

Zp Group Llc

Overview of Opportunity: Two Six Technologies is seeking an experienced and motivated Lead Data Engineer to work within a cross-functional development team focused on advancing a state of the art in mission tracking technology enhanced by artificial intelligence and machine learning. Streaming & Caching: 3+ years of experience implementing and scaling event-driven architectures with distributed message brokers like Kafka, and leveraging Redis (or similar key-value stores) for high-speed caching.

Twosix Technologies

Lead Data Engineer

ea_via_bold

Job Description: Develop and maintain data pipelines, ELT processes, and workflow orchestration using Apache Airflow, Python and PySpark to ensure the efficient and reliable delivery of data. Design and implement custom connectors to facilitate the ingestion of diverse data sources into our platform, including structured and unstructured data from various document formats.

HOUR

Diverse Lynx, LLC

ADAPTED_NOW

The ideal candidate has deep expertise in distributed systems, cloud platforms, and modern big data technologies such as Hadoop and Spark — and brings experience working alongside data science teams and workflows. This will require a hands-on engineer who designs, develops, and optimizes large-scale data processing systems — with experience supporting data science workflows and technologies.

Software Guidance & Assistance

Big Data Engineer

In this role, you will work across the full analytics lifecycle, from building robust data pipelines and transforming data to creating semantic models, reports, and dashboards that enable data-driven decision-making. Leveraging technologies such as Fivetran, Snowflake, dbt, and Power BI, you will help deliver reliable, high-quality, and business-ready analytics solutions that drive measurable impact.

Synopsys technology is at the heart of innovations that are changing the way we live and work. The Internet of Things. Autonomous cars. Wearables. Smart medical devices. Secure financial services. Machine learning and computer vision. These breakthroughs are ushering in the era of Smart, Secure Everything―where devices are getting smarter, everything’s connected, and everything must be secure.
 
Powering this new era of technology are advanced silicon chips, which are made even smarter by the remarkable software that drives them. Synopsys is at the forefront of Smart, Secure Everything with the world’s most advanced tools for silicon chip design, verification, IP integration, and application security testing. Our technology helps customers innovate from Silicon to Software, so they can deliver Smart, Secure Everything.

Synopsys Inc

SMALL TEAM, BIG RESULTS People come to Silverthorne when they are ready to do things differently—to start just by listening, to put clients first, and to sweat the details, because the little stuff really is big stuff. Responsibilities Design, develop, and implement end-to-end data pipelines, utilizing ETL processesand technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL,and Jupyter Notebooks.

Data Engineer (All Levels) - Crystal City, VA

Develop and optimize large-scale data platforms using technologies such as Redshift, Snowflake, BigQuery, Delta Lake, Apache Iceberg, and Apache Hudi, applying appropriate partitioning, schema evolution, and performance optimization strategies. SteerBridge seeks a highly skilled and motivated individual to join our team as a Senior Data Engineer to align data solutions to business requirements by planning and managing data infrastructure and strategy for our AI/ML Maintenance, Sustainment, and Deployment Planning Project.

SteerBridge LLC

This is an entry-level opportunity for someone early in their data engineering career to learn our claims data systems, contribute to pipeline development under the guidance of senior engineers, and build technical depth supporting a mission-critical VA program. We don't simply hire exceptional talent; we cultivate it, creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve.

Junior Data Engineer

We specialize in delivering high-quality consulting services to both federal and commercial clients, offering expertise in Strategy and Management Consulting, Technology & Architecture Services, and Industry & Mission Analytics Solutions. Our distinguished clientele includes the Department of Veterans Affairs (VA), National Aeronautics and Space Administration (NASA), the Department of Defense (DoD), and the United Stated Army Corps of Engineers (USACE).

Andrew Morgan

Data Engineer III

In this position, you will develop and maintain data pipelines and perform data analysis on GEOINT datasets, gaining experience with end‑to‑end data engineering processes. You will work alongside senior engineers and scientists to acquire hands-on experience in data infrastructure and engineering practices in support of a DoW Artificial Intelligence initiative.

Junior Data Engineer - Intern

Familiar with programming language, operating systems, computer hardware platforms – not responsible in actual hardware/software development – such as: Microsoft Office Suite (Excel, Word, Access, Visio UNIX/Linux XML · Engineers in this role accomplish business objectives by monitoring system functions from all points of system processing, identifying, and assisting in solving processing problems. · Familiar with programming language, operating systems, computer hardware platforms – not responsible in actual hardware/software development – such as: Microsoft Office Suite (Excel, Word, Access, Visio UNIX/Linu XML Understanding of relational databases and familiar with ETL database functions.

Data Engineer Jobs in Hanover, MD

Research Software and Data Engineer University of Maryland

Senior Data Engineer PRESCIENT EDGE CORPORATION

AWS Lakehouse Data Engineer Guidehouse Inc

ETL Data Engineer with Min 15yrs exp (Webcam Interview)(ONSITE_only Local to DMV Area) Advanced American Technologies, Inc

Data Engineer ECS Federal LLC

Senior Financial Data Engineer Silverthorne Advisory Group

Senior Data Engineer Capital Technology Group

Data Engineer, Leo Global Business and Customer Operations Amazon.com Inc

Data Engineer Franklin Resources Inc

Data Engineer Zp Group Llc

Lead Data Engineer Twosix Technologies

Data Engineer Diverse Lynx, LLC

Big Data Engineer Software Guidance & Assistance

Data Engineer Synopsys Inc

Data Engineer (All Levels) - Crystal City, VA Silverthorne Advisory Group

Senior Data Engineer SteerBridge LLC

Junior Data Engineer SteerBridge LLC

Data Engineer III Andrew Morgan

Junior Data Engineer - Intern ECS Federal LLC

Sr Data Engineer - Blue Bell, PA AHU Technologies

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