Data Engineer

Analytica

Washington, DC, United States Full-time 3 mo ago
Workplace
On-site
Location
Washington, DC, United States
Who can apply
Based in the United States: you usually need the right to work there

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About the role

Analytica is seeking a Databricks Data Engineer to support a high-profile program for a financial regulatory agency. This program entails developing, deploying, and maintaining secure, scalable data pipelines and platform services within the AWS and Databricks ecosystem. This role works alongside senior engineers and architects to improve data accessibility, platform reliability, and self-service analytics capabilities.

Analytica has been recognized by Inc. Magazine as one of the fastest-growing 250 businesses in the US for 3 years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products that impact our day-to-day lives. The company offers competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and 401k match.

Key Responsibilities:

* Support ingestion, transformation, and publication of enterprise datasets using standardized and governed data engineering processes. * Develop and maintain SQL-based reporting and analytics solutions using Databricks SQL Warehouses. * Assist with implementation and administration of Unity Catalog, data lineage, metadata, and data governance controls. * Support cloud operations activities including infrastructure automation, logging, monitoring, and platform observability. * Implement and maintain CI/CD pipelines using tools such as GitHub Actions, Terraform, and Databricks Asset Bundles. * Participate in platform incident response, troubleshooting, and operational support activities.

Required Qualifications:

* Minimum of 1 years of experience in data engineering, cloud engineering, or platform operations. * Experience supporting enterprise data platforms, analytics environments, or cloud-based data solutions. * Proficiency in Python, SQL, and data engineering concepts. * Experience with Databricks, Apache Spark, PySpark, or similar big data technologies. * Experience with AWS cloud services such as S3, IAM, CloudWatch, Glue, Athena, or Redshift. * Knowledge of ETL/ELT development and data pipeline design. * Bachelor's degree in Computer Science, Information Systems, Engineering, or related field. * AWS, Databricks, or cloud-related certifications preferred. * Ability to obtain or maintain an Active MBI Clearance.

About Analytica: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. The company is an award-winning SBA certified small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider.

About Data Engineer jobs in the United States

Open jobs
738 open Data Engineer jobs in the United States, 131 of them posted in the last 7 days. See all Data Engineer jobs in the United States
Typical advertised pay
$136,000 – $202,000 a year for the middle half of the 354 job ads from 218 employers that state a salary in US dollars (median $162,000). This is base pay as advertised, not total compensation. Data Engineer salary in the United States
Skills the job ads ask for most
  • SQL 79%
  • Python 79%
  • ETL 75%
  • Data modeling 50%
  • Data quality 49%
  • AWS 47%

Share of the 470 newest postings for the role that name each skill. Resume keywords for Data Engineer jobs

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