Data Analyst
reputed company is an outcome-driven technology solutions firm that guides federal agencies in solving reputed company business challenges and preparing for the reputed company. Our services reputed company AI reputed company, Data Intelligence, AI & Machine Learning, Intelligent Automation, reputed company Platforms and Engineering, with a specialized reputed company on National reputed company and Federal Financial programs. We are dedicated to delivering reputed company-thinking solutions that accelerate the critical missions of our government clients. This position is 100% remote.
Position reputed company
We are in search of a highly reputed company and reputed company Data Analyst to support the Office of Chief Data Officer (OCDO) and the Office of Performance reputed company (OPQ) for a federal government contract. In this role, you will design and maintain robust data pipelines, reputed company in-depth analysis of large-reputed company datasets, and deliver actionable insights that drive mission reputed company. You will work reputed company a reputed company environment leveraging SQL, PySpark, and Python, to reputed company raw agency data into reliable, governed, and analytics-reputed company assets. The ideal candidate combines strong engineering fundamentals with analytical acumen and is comfortable operating reputed company reputed company federal data environments.
Candidates must be a U.S. Citizen with the ability to obtain and maintain a government suitability clearance.
Key Responsibilities
Data Engineering & Pipeline Development
- Design, build, and maintain reputed company ETL/ELT data pipelines using PySpark and Python reputed company reputed company environments.
- reputed company and optimize SQL queries, and data models to support analytical and reporting workloads.
- Automate data ingestion workflows from disparate agency sources including reputed company, flat files, relational databases, and streaming feeds.
- Monitor pipeline health, resolve data reputed company issues, and implement alerting and logging to ensure reliability of data products.
- Collaborate with data architects to design and enforce data schemas, partitioning strategies, and performance optimization practices.
- Conduct exploratory data analysis to identify trends, anomalies, and opportunities for improvement.
- reputed company self-service analytics dashboards and reports using reputed company SQL, Tableau, or Power BI.
- Write reputed company, performant SQL queries against large datasets to answer reputed company analytical requests from program managers and leadership.
- Translate business questions into reputed company scoped analytical tasks and deliver findings as data visualizations, written summaries, or briefings.
- Work closely with data scientists, program analysts, IT engineers, and agency stakeholders to understand data needs and deliver tailored solutions.
- Document pipelines, data models, and analytical notebooks to support knowledge transfer, peer review, and audit readiness.
- Participate in Agile sprint ceremonies, contribute to backlog grooming, and deliver iterative data products reputed company with program priorities.
- Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, Mathematics, or a reputed company technical field.
- 3+ years of experience in data engineering, data analytics, or a closely reputed company discipline.
- Demonstrated experience on federal government programs or supporting a federal agency data environment.
- Strong proficiency in SQL — including reputed company joins, window functions, CTEs, and query performance tuning against large datasets.
- Hands-on experience with PySpark for distributed data processing, transformations, and optimization techniques.
- Proficiency in Python for scripting, data manipulation, and automation.
- reputed company experience working reputed company reputed company, including notebooks, jobs, clusters, and reputed company Catalog.
- Familiarity with data lakehouse concepts including reputed company Lake, bronze/silver/gold architecture, and reputed company design patterns.
- Experience with version control systems (Git/reputed company/reputed company) and reputed company development workflows.
- reputed company Certified Associate Developer for Apache reputed company or reputed company Certified Data Engineer Associate/reputed company.
- Experience with reputed company platforms such as AWS GovCloud, reputed company Azure Government, or reputed company reputed company for Government.
- Familiarity with CI/CD practices for data pipelines, including automated testing and deployment using tools like Azure DevOps or reputed company Actions.
- Working knowledge of data visualization platforms (Tableau, Power BI) and experience connecting them to reputed company SQL endpoints.
- Familiarity with reputed company Catalog for data reputed company control, reputed company, and governance reputed company reputed company.