Enterprise Data Engineer

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people.

Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.

Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands‑on experience, certifications, industry training and more.

Join us to drive positive, lasting change that moves missions and the government forward!

We are seeking skilled and detail‑oriented Data Engineers with expertise in utilizing Python, SQL, and Palantir (or other ETL platforms) to extract, transform, and load structured and unstructured data from various sources. The ideal candidate will have a strong background in data engineering and a deep understanding of ETL processes.

• Write robust and efficient Python and SQL scripts to automate data processing tasks.
• Integrate data from diverse sources, such as databases, APIs, and flat files, into centralized systems.
• Implement data transformations, enrichment, and modeling workflows to ensure data quality and usability.
• Ensure data structures are optimized for performance and scalability.
• Provide technical guidance and support to ensure effective use of Palantir tools across teams.
• Implement data quality checks, validation, and monitoring mechanisms to ensure the accuracy and reliability of datasets.
• Integrate data from diverse sources, such as databases, APIs, and flat files, into centralized systems.
• Ensure proper data transformation and curation to meet business and analytics requirements.
• Maintain and improve data quality, consistency, and accuracy through validation and cleansing processes.

• 3+ years of experience in data engineering.
• Strong proficiency in scripting and programming with Python.
• Expertise in working with SQL for data querying, transformation, and optimization.
• Experience with data integration from diverse sources such as APIs, relational databases, and file systems.

• Bachelor’s degree in Computer Science, Data Engineering, or a related field.
• Hands‑on experience with Palantir.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Apache Spark, Hadoop).
• Familiarity with data orchestration tools such as Apache Airflow, Prefect, or similar.
• Strong analytical and problem‑solving skills with attention to detail.
• Excellent communication and teamwork skills to collaborate with technical and business teams.

• Active TS/SCI with Poly clearance is required.

As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below.

Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on‑going basis and there is no fixed Final date to receive applications.

$111,800—$221,800 USD

As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at…