Cloud Data Engineer for US Govt — Pipelines & Spark

Accenture Federal Services; Illinois; On-site; USD 120,000 - 170,000; Full time

Job summary

Accenture Federal Services is seeking experienced data engineers to design and maintain scalable data pipelines using Databricks and Spark across defense, public safety, and civilian programs. You will integrate diverse data sources and collaborate with cross‑functional teams to deliver analytics-ready datasets.

The role requires US citizenship and a Secret clearance or higher, plus hands-on experience with cloud ETL tools and data warehousing technologies.

Qualifications

• Must be a US Citizen.
• Secret clearance or above.
• Experience with cloud-based ETL services (e.g., AWS Glue, Google Cloud Dataflow, Azure Data Factory).
• Experience with Cloud data warehousing technologies (e.g., Amazon Redshift, Google BigQuery, Snowflake).
• Experience with Python, SQL, Spark, and PySpark.
• Experience with data platforms like Databricks, Palantir, and Snowflake.

Responsibilities

• Design, build, and maintain scalable end‑to‑end data pipelines using Databricks and Spark.
• Develop efficient data processing and transformation workflows for analytics and reporting.
• Integrate diverse data sources into unified datasets.
• Collaborate with data science, analytics, and business units to meet goals.
• Implement validation, monitoring, and observability for data quality.

Skills

Python

SQL

Spark

PySpark

Data governance

Agile / Scrum

Data integration

Cloud data architecture

Tools

Databricks

AWS

Snowflake

BigQuery

Palantir

Elasticsearch

NiFi

Azure Data Factory

Job description

Accenture Federal Services is seeking experienced data engineers to design and maintain scalable data pipelines using Databricks and Spark across defense, public safety, and civilian programs. You will integrate diverse data sources and collaborate with cross‑functional teams to deliver analytics-ready datasets.

The role requires US citizenship and a Secret clearance or higher, plus hands-on experience with cloud ETL tools and data warehousing technologies.