Senior Data Engineer (PyData)
This company is looking for a Senior Data Engineer who can work with multiple different teams within their company to help drive their overall Data Engineering and Data-related efforts. They need someone who understands general ETL and data processes and is very experienced with Python and AWS. You’d also be working with Spark and even touching some of their analytics with the PyData stack.
This company is known for the culture that they have created over the years. They have a great team in place and are really looking for someone to come join that. You’d have a lot of opportunity within the company to expand your skillset and learn.
Required Skills & Experience
- Strong Python coding skills
- Experience with AWS and instances within
- Streaming tools (Kafka, Flink, etc.)
- Experience working with Spark
- Strong “Soft Skills” or the ability to work effectively with different groups
Desired Skills & Experience
- Experience with Analytics (PyData Stack)
- Knowledge in BI/Stats
- BS in CS/Related
- 3+ years of experience
- Lambdas or Sagemaker experience
What You Will Be Doing
- 60% Data Engineering
- 15% Analytics
- 25% Data Ops
- 60% Hands On
- 40% Team Collaboration
- Competitive Salary: Up to $180K/year, DOE
You will receive the following benefits:
- Medical Insurance & Health Savings Account (HSA)
- Paid Sick Time Leave
- Pre-tax Commuter Benefit
- Dogs in the Office
- Casual environment
- Flexible hours
Applicants must be currently authorized to work in the United States on a full-time basis now and in the future.
Jobspring Partners, part of the Motion Recruitment network, provides IT Staffing Solutions (Contract, Contract-to-Hire, and Direct Hire) in major North American markets. Our unique expertise in today’s highest demand tech skill sets, paired with our deep networks and knowledge of our local technology markets, results in an exemplary track record with candidates and clients.