Data Success Engineer

This is a fully remote position, open to applicants in Maryland.

📋 Description

• Collaborate with business stakeholders, data owners, analysts, and technical teams to comprehend business processes and data requirements.

• Lead discussions for information gathering, clarify requirements, and convert needs into user stories, acceptance criteria, source-to-target mappings, and technical specifications.

• Develop and enhance data pipelines that provide data to business users, including solutions created with Databricks.

• Utilize SQL and Python to query, profile, transform, and validate data, as well as troubleshoot data quality issues across various tables and sources.

• Ensure that data solutions align with business requirements and assist clients in understanding how their data products contribute to business outcomes.

• Document data definitions and transformation logic, articulating technical findings in clear, non-technical terms.

• Participate in Agile planning, sprint activities, and continuous improvement initiatives.

⛳️ 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 needs.

• U.S. citizenship is required to support this federal contract.

• Experience in gathering, analyzing, and documenting business or data requirements, including translating needs into user stories, acceptance criteria, source-to-target mappings, or technical specifications.

• Experience in working directly with clients and stakeholders to facilitate discussions for information gathering, asking effective questions, clarifying needs, and communicating findings.

• Proficiency in SQL, including the ability to write complex queries and investigate data issues across multiple tables or sources.

• Familiarity with AWS services, including AWS Glue, Amazon S3, and Amazon RDS.

• Proficiency in Python for data processing, automation, or pipeline development.

• Experience with relational databases and structured data.

• Ability to align business objectives with 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: Familiarity with Agile delivery tools and practices, such as Jira, Confluence, and Scrum.

• Preferred: Experience in creating process flows, data models, or other artifacts that assist teams in understanding data movement and usage.

• Preferred: Strong analytical, problem-solving, written, and verbal communication skills.

• Preferred: Certifications in Databricks, AWS, or data engineering.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Paid time off and holidays.

• Opportunities for professional development and certification reimbursement.

• Flexible work arrangements and a supportive work environment.