Data Engineer

Data EngineerAt 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!The work:Pipeline Architect: Design, build, and maintain scalable end-to-end data pipelines using Databricks, Spark, and related technologies.Transformation Titan: Develop efficient data processing and transformation workflows to support analytics and reporting needs.Integration Hero: Integrate diverse data sources including APIs, databases, and cloud storage into unified datasets.Collaboration Champion: Work closely with cross-functional teams (data science, analytics, business units) to design and implement data solutions that align with business goals.Quality Guardian: Implement robust validation, monitoring, and observability processes to ensure data accuracy, completeness, and reliability.Automation Avenger: Contribute to data governance, security, and automation initiatives within the data ecosystem.Cloud Commander: Leverage AWS services (e.g., S3, Glue, Lambda, Redshift) to build and deploy data solutions in a cloud-native environment.Here's what you need: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 PySparkExperience with data platforms like Databricks, Palantir, and SnowflakeFamiliarity with data orchestration and data quality processesMust be a US CitizenBonus points if you have:Secret clearance or aboveExperience working with federal clientsExperience with COTS and open-source data engineering tools such as ElasticSearch and NiFiExperience with Docker/Kubernetes Hadoop/Spark, NiFi, ELK stackExperience with Agile / ScrumData engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similarThe pay range for 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 is:$93,400 - $176,200 USD