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Junior Data Platform Administrator

United States, Saint Louis Employment contract 31.25 - 33.65 USD / Hour · Job Posted May 29, 2026
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Job Description

The Junior Data Platform Administrator is responsible for supporting the ingestion, processing, and ongoing maintenance of data pipelines within the MERS/Goodwill Databricks environment. This position works under the direction of the Data Lake team lead and partners with IT, finance, retail operations, and business intelligence stakeholders to deliver reliable, well-documented data assets that support organizational reporting and analytics. This is an entry-level engineering role intended to develop into broader data platform responsibilities over time.

Job Responsibility

  • Build, monitor, and maintain data ingestion pipelines into the Databricks from various source systems including API endpoints and POS systems
  • Develop and maintain notebooks, jobs, and workflows in Databricks using PySpark and SQL
  • Perform routine maintenance of the Databricks environment, including cluster configuration assistance, job scheduling, pipeline reruns, and data quality validation
  • Investigate and resolve pipeline failures, data freshness issues, and schema drift
  • document root cause and remediation steps
  • Apply medallion architecture practices (bronze, silver, gold) under the direction of senior team members to organize raw, refined, and curated data
  • Collaborate with the Data Lake team and business stakeholders to translate reporting and analytics requirements into data engineering tasks
  • Maintain accurate documentation of data sources, pipelines, table schemas, and operational runbooks
  • Support data governance practices including access control, sensitivity classification, and audit logging in accordance with organizational requirements
  • Participate in code reviews, version control workflows, and CI/CD processes for data engineering assets
  • Respond to ad hoc data requests and assist with data extraction and validation tasks as assigned
  • Participate in team meetings, status reporting, and ongoing skill development activities
  • Perform other duties as assigned

Requirements

  • Bachelors degree in Computer Science, Information Systems, Data Engineering, Analytics, or a related field
  • or an equivalent combination of education and experience
  • 0–2 years of professional or internship experience in data engineering, analytics engineering, business intelligence, or database administration
  • Working knowledge of SQL, relational databases, data modeling, and ETL/ELT concepts
  • Experience with at least one programming language, preferably Python
  • Familiarity with cloud data platforms, including Databricks, Apache Spark, or PySpark preferred
  • Understanding of structured and unstructured data formats such as CSV, JSON, and Parquet
  • Ability to troubleshoot, validate data, and interpret existing code and pipelines
  • Familiarity with Git and exposure to Microsoft Azure or Entra ID is a plus
  • Strong written and verbal communication skills with the ability to work independently and collaboratively
  • Detail-oriented with a commitment to continuous learning and data security best practices

Nice to have

  • Familiarity with cloud data platforms, including Databricks, Apache Spark, or PySpark
  • Familiarity with Git and exposure to Microsoft Azure or Entra ID

What we offer

  • Individual and family medical benefits for full-time employees working 30 or more hours per week the first day of the month after date of hire
  • Individual and family dental and vision benefits on the first of the month following the hire date for employees working 20 or more hours week
  • Voluntary Life and AD&D Insurance on the first of the month following the hire date for employees working 20 or more hours per week
  • 403(B) Retirement on date of hire for employees working 20 or more hours per week
  • 403(B) Retirement + Employer Match after one year of employment for employees working 20 or more hours per week
  • 401(A) Retirement on date of hire for employees working 20 or more hours per week
  • PTO Accrual up to 15 days based on hours worked
  • Employee store discount
  • Paid holidays
  • Flexible Schedules
  • Career Growth Opportunities

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