SQL Data Engineer

Parra Consulting Group, Inc.

. Design, develop, and optimize scalable data pipelines, data models, and analytics-ready datasets using advanced SQL and Databricks .

Posted 10/27/2026full-timeRemote • Maryland • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and optimizing scalable data pipelines and complex SQL solutions across various database environments, including Oracle SQL, PostgreSQL, and Databricks SQL. Proficient in data integration, automated testing, and implementing data governance practices within regulated environments.

Highest-signal resume keywords

Advanced SQL DevelopmentDatabricks ExperienceData Integration SkillsData Quality ProcessesETL/ELT Transformation Workflows

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLDatabricksPythonData ModelingData WarehousingETLELTData ValidationData ReconciliationAutomated Testing

Soft Skills

CollaborationCommunicationProblem-SolvingIndependenceClient-Focused

Tools & Technologies

Oracle SQLPostgreSQLApache SparkDelta LakeGitPentahoAWS CloudCI/CD PipelinesData Governance ToolsUnity Catalog

Certifications & Qualifications

Databricks CertificationAWS Cloud Certification

Industry Keywords

Data EngineeringFederal Health Data SystemsRegulatory ScienceData PrivacyData Security

Tech Stack

Tools & technologies

ApacheAWSCloudETLOraclePostgresPythonSparkSQLUnity

About the role

Key responsibilities & impact

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

What you’ll need

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