Data Engineer Salary at Us Department Of Defense BETA

ManTech seeks a motivated, career and customer-oriented Data Engineer to join our team in Chantilly, VA. The Data Engineer will leverage their development skills and experience, to support the successful designing, ingesting, cleansing, transformation, loading, and display of significant amounts of data. Responsibilities include but are not limited to: Designing, implementing, and optimizing data extraction, cleansing, transformation, loading, replication/distribution, and large-scale ingest systems in a Big Data environment Optimizing all stages of the data lifecycle, from initial planning, to ingest, through final display and beyond Developing custom solutions/code to ingest and exploit new and existing data sources Developing data profiling, deduping logic, and matching logic for analysis Organizing and maintaining Data Layer documentation, so others are able to understand and use it. Also, work closely with data scientists to craft data pipelines which serve the development of mode

ManTech seeks a motivated, career and customer-oriented Data Engineer to join our team in Herndon, Virginia. As a Data Engineer on our team, you will work with of a team of cyber experts protecting our national security, while working on innovative projects that offer opportunities for advancement. We encourage our team members to share and grow their skills and expertise while creating robust and state-of-the-art solutions. Responsibilities include but are not limited to: Design, build, and optimize systems for data collection, storage, access, and analytics at enterprise scale, which may involve security-sensitive actions like illicit network access or data transfer Make data available, accessible, and secure to all stakeholders Create robust and resilient data pipelines to connect data sources to analytics tools Analyze data sources for accuracy, data prioritization, and apply appropriate logic to developed solutions. Work with various analysts to craft requirements Enumerate the ne

Overview Syntelligent Analytic Solutions, LLC provides uniquely qualified personnel with the expertise and tools needed to fulfill our customers' management and technical requirements in the intelligence, defense, homeland security and commercial market space. Our customers' and Syntelligent's success are built upon the core values of People First, Integrity & Accountability, Mission Driven, Community Focus and Team Oriented. Syntelligent is seeking a full-time Data Engineer for upcoming work with a federal client. Location: Washington, DC Schedule: Day/ M-F Anticipated Salary Range: $110,000-132,500 Responsibilities Syntelligent is seeking a data engineer to work in a variety of settings to develop and design data pipelines to support end-to-end solutions. Candidate will build systems that collect, manage, and convert raw data into usable information for multiple purposes to include but not limited to, IT application usage, reporting, applicant processing, etc. Duties: Develop and des

Unissant, Inc. delivers innovative capabilities to the agencies that keep our nation healthy and safe. We apply our domain expertise, data acumen, and technology know-how to achieve breakthrough results for our clients. Working collaboratively, we advance missions and careers through a focus on honesty, integrity, and dependability. We continuously look for talent, excited to join that effort. To learn more about our exciting organization, please visit us at . We are seeking a Data Engineer to join our team and support our Department of Homeland Security (DHS) customer in the Washington DC metro area. Essential Duties and Responsibilities: Responsible for designing and building systems to collect and process data (and events) at massive scale. The data is used for a variety of purposes from business insights to application(s) monitoring. Conducts and coordinates the design and implementation of software development to meet user requirements. Develop data ingestion pipelines to ingest a

Job Title: Data Analyst II Locations: Washington DC (Onsite) Duration: 12 Months Contract on W2 (Possible extension) We are seeking a highly skilled and experienced Data Analyst to join our client's Data Engineering team. As a key team member, you will be responsible for providing data analysis support to Global Operations across the organization. Your primary focus will be on resolving privacy tasks, on-call tasks that require backfilling, tracking tasks, creating bug intake forms, and deprecating stale tables. Must-Have Skills: 2+ years of experience in developing ETL pipelines, modifying existing databases, and database management systems Strong SQL skills AND experience with data visualization tools such as Tableau or Power BI Knowledge of data warehousing concepts and ETL processes Nice-to-have Skills: Familiarity with Client's data infrastructure and tools (e.g., Hive, Presto, Spark) Experience with data governance and data quality best practices Experience with Python programmin

Data Engineer Must have skills: Python, Spark, ETL, Data streaming experience, AWS. Nice to have: Hadoop, Glue, Snowflake, Databricks Fullstack - Backend -python based API - Angular & Web development is plus. Existing pipelines need to be transformed into PySpark Location preference is local to McLean or Richmond, VA. We are an Equal Opportunity Employer committed to a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, gender identity, national origin, disability, or veteran status. We value diverse perspectives and actively seek to create an inclusive environment that celebrates the unique qualities of all employees. We are an Equal Opportunity Employer committed to a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, gender identity, national origi

We Are: At Data Society, we provide bespoke, leading-edge data and AI solutions for Fortune 1,000 companies and federal, state, and local governmental organizations. We partner with our clients to educate, equip, and empower their workforces with the skills they need to achieve their goals and expand their impact. We are empowering the workforces of the future, from data literacy for all employees to support for data engineers and data scientists to train up on the most complex AI solutions and Machine Learning skills. Job Summary: The Data Engineer is responsible for building scalable, performant data pipelines that power critical operational and analytical applications. The engineer must be able to work closely with our data science teams to run ML/AI models on top of enterprise-scale data and build the supporting data scaffolding to orchestrate, test, and monitor data systems. This is a customer-facing role within a cross-functional team so the ability to manage timelines, work both

Overview: You'll play a pivotal role in designing and implementing scalable data pipelines and real-time feedback loops essential for training, tuning, and evaluating AI models. The team drives innovation in how customers search for content, control connected devices, and access entertainment-related information. In this role, you will take ideas from prototype to production, build scalable cloud infrastructure, and contribute to the development of durable feedback architectures. If you're passionate about data engineering, cloud deployment, and AI-powered platforms, this is an opportunity to work on impactful solutions used on a global scale. Core Responsibilities: Information Retrieval: Collaborate on developing information retrieval systems, including search algorithms, ranking models, and indexing strategies. Team Collaboration: Partner with engineering teammates and product stakeholders to define technical requirements, implement features, and ensure timely delivery of content ret