Data Success Engineer

Job not on LinkedIn

🔥 1 minute ago

🦀 Maryland – Remote

🦀 Maryland – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ 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

• Partner with business stakeholders, data owners, analysts, and technical teams to understand business processes and data needs • Facilitate information-gathering discussions, clarify requirements, and translate needs into user stories, acceptance criteria, source-to-target mappings, and technical specifications • Build and improve data pipelines that deliver data to business users, including solutions built with Databricks • Use SQL and Python to query, profile, transform, and validate data, and troubleshoot data quality issues across multiple tables and sources • Ensure data solutions meet business requirements and help clients understand how their data products support business outcomes • Document data definitions and transformation logic, and explain technical findings in clear, non-technical language • Contribute to Agile planning, sprint activities, and continuous improvement efforts

🎯 Requirements

• Bachelor’s degree in Computer Science, Computer Engineering, Engineering, Math, Physics, or Information Systems and Technology • 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 gathering, analyzing, and documenting business or data requirements, including translating needs into user stories, acceptance criteria, source-to-target mappings, or technical specifications • Experience working directly with clients and stakeholders to facilitate information-gathering discussions, ask effective questions, clarify needs, and communicate findings • Experience with SQL, including writing complex queries and investigating data issues across multiple tables or sources • Experience using AWS services, including AWS Glue, Amazon S3, and Amazon RDS • Experience using Python for data processing, automation, or pipeline development • Experience working with relational databases and structured data • Ability to connect business objectives to data requirements and technical implementation • Preferred: Experience with Databricks, including notebooks, Spark, Delta Lake, or Databricks SQL • Preferred: Experience with data warehousing, lakehouse architecture, or medallion data architecture • Preferred: Experience with data quality frameworks, metadata management, or data governance • Preferred: Experience with Agile delivery tools and practices, such as Jira, Confluence, and Scrum • Preferred: Experience creating process flows, data models, or other artifacts that help teams understand how data moves and is used • Preferred: Strong analytical, problem-solving, written, and verbal communication skills • Preferred: Databricks, AWS, or data engineering certifications