SQL Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

🦀 Maryland – Remote

🦀 Maryland – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 25%

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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Parra Consulting Group, Inc.

WebsiteLinkedInAll Job Openings

11 - 50 employees

🎖️ Defense

📦 Logistics

💼 Consulting

Defense • Logistics • Consulting

Parra Consulting Group, Inc. is a Service-Disabled Veteran-Owned Small Business (SDVOSB) and HUBZone Certified company that provides Subject Matter Expertise to the Warfighter and Intelligence Community. With over 15 years of experience, the company focuses on bridging program strategy and mission success through technology-driven solutions. PCG emphasizes its core values of agility, collaboration, commitment, and integrity. The company offers a broad range of services including Emerging Technologies Support, Cyberspace Operations, Engineering and Intelligence Support, and Technical Advisory Services. Parra Consulting is dedicated to enhancing customer capabilities and preparing them for future challenges.

📋 Description

• Design, develop, and optimize scalable data pipelines, data models, and analytics-ready datasets using advanced SQL and Databricks • Develop, tune, and troubleshoot complex SQL solutions across Oracle SQL, PostgreSQL, and Databricks SQL • Integrate data from databases, cloud data platforms, APIs, JSON, XML, and flat files • Implement automated testing, data validation, data reconciliation, and data-quality processes • Translate solutions across different SQL dialects and database environments • Collaborate with data engineers, analysts, software developers, data scientists, and client stakeholders to deliver secure, high-performing solutions • Communicate technical concepts to technical and non-technical audiences • Raise questions, risks, and recommended actions to management early

🎯 Requirements

• Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, Biostatistics, or Mathematics • 5+ years of experience developing, optimizing, and troubleshooting complex SQL solutions • Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements • U.S. citizenship required to support this federal contract • Experience with Oracle SQL, PostgreSQL, and Databricks SQL, including queries, stored procedures, views, functions, and data transformations • 2+ years of experience with Databricks, including Databricks Workspace, notebooks, jobs, workflows, Apache Spark, Delta Lake, and cluster configuration • Experience with relational databases, data modeling, dimensional modeling, data warehousing, and medallion architecture patterns • Experience integrating data from databases, cloud data platforms, APIs, JSON, XML, and flat files • Experience developing data engineering solutions in Python and managing code through Git or comparable source-control tools • Experience implementing automated testing, data validation, data reconciliation, and data-quality processes • Ability to work independently in an Agile, collaborative, and client-focused environment and troubleshoot complex issues • Experience with advanced Databricks capabilities, including Delta Live Tables, Workflows, and Unity Catalog • Experience developing and optimizing ETL and ELT transformation workflows • Experience with Pentaho or equivalent data integration and ETL tools • Experience implementing CI/CD pipelines, automated deployments, and software development practices for data solutions • Experience applying AI-enabled tools or techniques to improve data engineering workflows, pipeline performance, or developer productivity • Experience with data governance, metadata management, data lineage, privacy, security, and access controls • Experience supporting federal health data systems, regulatory science, or other regulated data environments • Databricks, AWS Cloud, or data engineering technical certification