Data Success Engineer

Parra Consulting Group, Inc.

. Partner with business stakeholders, data owners, analysts, and technical teams to understand business processes and data needs .

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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in SQL and Python for data processing and pipeline development, with a strong ability to translate business requirements into technical specifications. Proficient in utilizing AWS services and Databricks to build and improve data solutions that meet business needs.

Highest-signal resume keywords

SQL Query WritingPython Data ProcessingAWS Services (Glue, S3, RDS)Databricks ExperienceAgile Methodologies (Jira, Scrum)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonData Pipeline DevelopmentData TransformationData Quality AnalysisRelational DatabasesSource-to-Target MappingTechnical Specification DocumentationData ModelingData Governance

Soft Skills

Analytical SkillsProblem-SolvingWritten CommunicationVerbal CommunicationStakeholder Engagement

Tools & Technologies

DatabricksAWS GlueAmazon S3Amazon RDSJiraConfluence

Certifications & Qualifications

Databricks CertificationAWS CertificationData Engineering Certification

Industry Keywords

Data WarehousingLakehouse ArchitectureMedallion Data ArchitectureAgile DeliveryData Quality Frameworks

Tech Stack

Tools & technologies

AWSPythonSparkSQL

About the role

Key responsibilities & impact

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

What you’ll need

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