Data Platform Engineer

Sovrn provides data platform and processing solutions focusing on business intelligence and analytics.
$110,000 - $130,000
Data
Mid-Level Software Engineer
Hybrid
2+ years of experience
Enterprise SaaS

Description For Data Platform Engineer

Sovrn is seeking a Data Platform Engineer to join their Data Platform team in Boulder, Colorado. This role focuses on maintaining and evolving Sovrn's data platform, with responsibilities spanning architecture design, data transformation, and governance. The position offers a competitive salary range of $110,000-$130,000 and requires expertise in big data processing, Python, and cloud technologies.

The ideal candidate will work in a hybrid environment, collaborating with cross-functional teams to enhance data architecture and ensure data ecosystem efficiency. Key responsibilities include implementing data pipeline components, monitoring performance metrics, and maintaining data security measures. The role requires experience with technologies like Spark, Databricks, and AWS, along with strong problem-solving and communication skills.

Sovrn offers comprehensive benefits including medical, dental, and vision coverage, stock options, 401(k) with match, and flexible vacation. The company values candor, customer empathy, learning, and scrappy innovation. They promote an inclusive work environment and equal opportunities for all employees.

This position is perfect for a mid-level engineer passionate about data infrastructure who wants to work with cutting-edge technologies while making a significant impact on business growth through data services and models. The hybrid work arrangement in Boulder offers the perfect balance of collaboration and flexibility.

Last updated 2 days ago

Responsibilities For Data Platform Engineer

  • Participate in architecture design, table definition, metric consistency, data modeling
  • Work with big data and analytics technologies
  • Provide governance of business-critical product data sets
  • Implement data pipeline components in AWS and Databricks
  • Implement data pipeline metrics to monitor performance
  • Optimize data processing and data access
  • Troubleshoot stability issues
  • Work with security team on data security measures
  • Ensure compliance with data governance and privacy regulations

Requirements For Data Platform Engineer

Python
  • Solid understanding of big data processing environments (Spark, Databricks)
  • Experience with data processing using Spark and Python in production
  • Experience with orchestration tools like Airflow and MWAA
  • Experience working in Cloud Computing ecosystem (AWS)
  • Familiarity with relational databases, big data tables, and DynamoDB
  • Strong problem-solving skills
  • Excellent communication and collaboration skills
  • Ability to document and communicate application code
  • Experience with infrastructure as code tools (Terraform, AWS CloudFormation) preferred

Benefits For Data Platform Engineer

Medical Insurance
Dental Insurance
Vision Insurance
401k
Parental Leave
Commuter Benefits
Equity
  • Competitive salaries
  • Stock options
  • Medical, dental and vision coverage
  • Short and long term disability
  • Life insurance
  • 11 paid holidays
  • Flexible vacation
  • Commuter benefits
  • 401(k) plan and match
  • Paid parental leave program

Interested in this job?

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