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Role Snapshot

Data Engineer V role focused on designing, developing, and optimizing scalable data pipelines and analytics platforms using Databricks and Spark. This position partners with product, analytics, and engineering teams to deliver reliable data solutions that drive business insights.

Key Responsibilities: Design, build, and maintain scalable ETL/ELT pipelines; integrate and transform source data into curated, analytics-ready data layers; collaborate with cross-functional teams to translate business needs into data solutions; and maintain data documentation including data dictionaries and lineage.
Skills & Tools: Proficiency in Python, SQL, and cloud data platforms (Azure preferred); strong experience with data pipeline orchestration, Git-based version control, and SQL Server query optimization; excellent problem-solving abilities and capacity to work autonomously with cross-functional teams.
Qualifications: 8 years of relevant experience in data engineering with demonstrated ability to scope and deliver projects within timelines. Bachelor's degree in Computer Science or relevant field preferred; experience with PySpark, Databricks SQL, data modeling techniques, PowerBI, and Agile/Scrum environments is advantageous.
Location: Remote - Remote - United States
Compensation: $85K–$100K/yr

Job Description

The Data Engineer V leads the design, development, and optimization of scalable data pipelines and analytics platforms. This role partners closely with product, analytics, and engineering teams to deliver high-quality, reliable data solutions that drive business insights.

Responsibilities

  • Design, build, and maintain scalable ETL/ELT pipelines using Databricks and Spark
  • Design and maintain processes to integrate and transform source data into curated, analytics-ready data layers
  • Collaborate with product, analytics, and engineering teams to translate business needs into data solutions
  • Maintain data documentation including data dictionaries and lineage
  • Work with SQL Server, including querying and managing data
  • Leverage AI-enabled tools and analytics to enhance decision-making, improve efficiency, and drive measurable business outcomes when appropriate.
  • Apply sound judgment and ethical standards when using AI, ensuring accuracy, data privacy, and responsible human-in-the-loop oversight.
  • Other duties as assigned

Required Qualifications

  • Proficient programming / scripting in Python, SQL
  • Proficiency in cloud data platforms (Azure preferred)
  • Experience building data pipelines that ingest, transform, and load source data into curated data models
  • Experience with data pipeline orchestration and workflow tools
  • Strong working knowledge of Git-based version control workflows
  • Strong proficiency in SQL Server including query optimization and performance tuning
  • Demonstrated ability to scope and deliver projects within timelines
  • Ability to collaborate effectively with cross-functional teams to deliver data-driven solutions
  • Strong problem-solving skills and operates with high autonomy and ownership
  • 8 years of relevant experience

Preferred Qualifications

  • Experience in programming / scripting in PySpark, Databricks SQL, DAX
  • Experience with data modeling techniques (star schema, dimensional modeling)
  • Experience in creating PowerBI reports
  • Experience delivering projects within Agile/Scrum environments
  • Experience in communicating complex technical concepts to non-technical stakeholders
  • Experience following existing coding standards
  • Bachelor’s degree in Computer Science or relevant field

The pay range for this position is $85,000-$100,000/year; however, base pay offered may vary depending on job-related knowledge, geographic location, skills, and experience. This position is eligible for an annual bonus in addition to a full range of benefits. This information is provided per the relevant state and local pay transparency laws for the location in which this position will be performed.

Medical Insurance, Life Insurance, Dental Insurance, Vision Insurance, PTO, Paid Parental Leave, Paid Holidays, Short Term Disability, Long Term Disability, 401K, Educational Assistance

Jenzabar does not discriminate in employment opportunities or practices on the basis of race, color, sex, gender, gender identity, pregnancy, childbirth and related medical conditions, genetics, genetic markers and carrier status, creed, religion, national origin, ancestry, age, disability, medical condition, marital status, sexual orientation, military service, veteran status, or any other status protected by state and federal laws.

Please Note: Jenzabar does not sponsor applicants for work visas.

Electronic Monitoring Notice:

Job applicants are advised that Jenzabar reserves the right to monitor, access, review, and disclose electronic activity conducted on Company‑owned devices, networks, and systems, as well as activity involving Jenzabar applications or accounts accessed on personal devices. Monitoring may include email, messaging, internet usage, files, applications, and other electronic communications or data, and is performed for security, compliance, and operational purposes.