Quick overview
Job description
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 PySpark
- Experience with data platforms like Databricks, Palantir, and Snowflake
- Familiarity with data orchestration and data quality processes
- Must be a US Citizen
Bonus points if you have:
- Secret clearance or above
- Experience working with federal clients
-
Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi
- Experience with Docker/Kubernetes Hadoop/Spark, NiFi, ELK stack
-
Experience with Agile / Scrum
- Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar
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, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia. 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 deadline to apply.
Similar jobs
- GA

Senior Databricks Data EngineerRecently posted Auto Apply
Growth Acceleration Partners · Austin · Hybrid 🇺🇸
FastAPISQLGit+12TechnologySalary not listed - TM

ERP Data / Integration LeadRecently posted Auto Apply
The Morganfield Group · Greensboro, North Carolina · Remote 🇺🇸
ERPPayrollProcurement+1Salary not listed - GS

Data EngineerRecently posted Auto Apply
Golden State · San Francisco · Hybrid 🇺🇸
GCPSQLETL+9Technology$144k - $153k/yr - ES

Product Engineer II- Data PipelinesRecently posted Auto Apply
Esri · Redlands · Hybrid 🇺🇸
Apache SparkComplianceDiversity & Inclusion+6$79.7k - $133.1k/yr - AR

210 Database Engineer 3Recently posted Auto Apply
Arsiem · Annapolis Junction · On-site 🇺🇸
OracleBashCompliance+1Technology$171k - $191k/yr - DI

Network Data Engineer - In Person Interview -W2 Tax Terms Auto Apply
Distro · Columbus · On-site 🇺🇸
Network AdministrationTechnology$60 - $62/hr - SE
Staff Database EngineerRecently posted Auto Apply
ServiceNow · Santa Clara, CALIFORNIA · Hybrid 🇺🇸
MariaDBShellAnsible+5Technology$146.2k - $255.9k/yr - BI

Senior Staff Data EngineerRecently posted Auto Apply
Biohub · New York · Hybrid 🇺🇸
SourcingAWSCDK+3Technology$270k - $300k/yr - AF
Data EngineerRecently posted Auto Apply
Accenture Federal Services · Arlington · Hybrid 🇺🇸
Continuous ImprovementCI/CDTechnology$91.7k - $178.7k/yr - SM

Data Engineer (5626)Recently posted Auto Apply
SMX · United States · Hybrid 🇺🇸
SQLAWSETL+2TechnologySalary not listed - SM

Data Engineer (5688)Recently posted Auto Apply
SMX · United States · Hybrid 🇺🇸
SQLAWSETL+1TechnologySalary not listed - XD

Member of Technical Staff, Robotics DataRecently posted Auto Apply
Xdof · San Mateo Hybrid · Hybrid 🇺🇸
NumPyRoboticsPandas+3Salary not listed