Data Engineer

🕒 July 29

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 31%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Analytica

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏥 Healthcare

📦 Logistics

📣 Marketing

Healthcare • Logistics • Marketing

Analytica is a rapidly growing SBA-Certified 8(a) Small Business that specializes in providing advanced analytics, digital transformation, and enterprise data management services primarily to federal agencies. The company focuses on simplifying complex data to enable its clients to make informed decisions, thereby driving success in their missions and citizen services. With a strong emphasis on management consulting and federal technology training, Analytica employs a data-driven approach to enhance the capabilities of government IT systems and organizations. The company is renowned for its collaborative culture and commitment to employee development, ensuring quality service delivery. Analytica is recognized for its support in public sector innovation and adheres to industry standards like Agile, SAFe, and CMMI. Their mission is to assist the government in utilizing digital tools and data analytics to improve service delivery to citizens.

📋 Description

• 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

🎯 Requirements

• Minimum of 3 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

🏖️ Benefits

• Competitive compensation with opportunities for bonuses • Employer-paid health care • Training and development funds • 401k match