Senior Data Engineer

SunnyData · Remote · United States ·
Fully remoteFull-timeSenior5+ years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Senior Data Engineer
  • Fully remote
  • Databricks focus
  • AWS, Azure, or GCP
  • Consulting role

Join SunnyData as a Senior Data Engineer to help customers build robust data architectures and AI-driven applications. You will work directly with internal teams and clients to design, build, and operationalize complex data solutions that support business intelligence and machine learning goals.

In this role, you will guide customers through technical decision-making, manage multiple accounts, and ensure high-quality data governance. You will collaborate across teams to deliver data products and educate end users on analytic environments.

What you'll do

  • Design and deploy complex data solutions for customer needs
  • Guide clients on technical decisions to achieve business goals
  • Manage progress tracking and reporting across multiple accounts
  • Implement data cleansing, quality, and transformation processes
  • Analyze data sources to determine value for analytical processes
  • Enforce data governance, security, and quality standards
  • Educate end users on data products and analytic environments
  • Resolve defects and incidents of moderate complexity

What you'll need

  • Five or more years in data engineering and product development
  • Experience with Spark, Hadoop, or Kafka
  • Strong understanding of end-to-end data analytics workflows
  • Proven debugging and problem-solving skills
  • Strong verbal and written communication abilities
  • Bachelor’s degree in STEM or equivalent experience
  • Intermediate leadership and self-motivation skills

Nice to have

  • Databricks platform experience in engineering or MLOps
  • Knowledge of pandas, scikit-learn, or HPO
  • Familiarity with SQL and data warehousing concepts
  • Knowledge of AWS, Azure, or GCP cloud platforms
  • Databricks Certification

Stack

  • Spark
  • Hadoop
  • Kafka
  • Databricks
  • pandas
  • scikit-learn
  • SQL
  • AWS
  • Azure
  • GCP

What you get

  • Health insurance from day one for employees and family
  • Minimum 15 days paid time off annually
  • Nine paid company holidays
  • Performance-based cash incentive awards
  • Opportunities for technical and people skill growth