Data Engineer

Data Engineer

This job is no longer open

TargetSmart produces big data products, such as a national dataset of voting aged individuals, that are used by our Democratic Party aligned political clients to advance their goals. A TargetSmart Data Engineer’s role is to contribute to the success of critical data engineering projects, support and maintain data pipelines, and provide expertise to data consumers across the company. Typical data engineering projects focus on improving performance, adding features, and modernizing existing data pipelines. A Data Engineer will also design and develop new workflows and pipelines. Further, a Data Engineer will help shape technology choices and manage the lifecycle of data infrastructure systems.

Hard requirements

  • Must reside and work in the United States with citizenship or green card status
  • Able to work and communicate successfully as a remote employee collaborating with other remote employees
  • Degree or certificate in computer science or able to demonstrate equivalent knowledge
  • Professional experience doing data engineering

LOCATION: REMOTE

SALARY RANGE: $90,000 – $130,000

A typical day might look like

  • Collaborate with stakeholders to understand and shape project requirements
  • Implementing Python Prefect tasks to orchestrate workflow steps
  • Writing SQL queries and/or Python code to query and process data stored in our S3 Data Lake (Athena, RedShift, Glue, DynamoDB, EMR, etc.)
  • Migrating existing data transformations and helping create new ones using dbt or other frameworks
  • Developing and testing solutions in secure remote environments such as AWS Linux Workspaces, ssh, RDP
  • Collaborating with other engineers and internal teams using Slack, JIRA, and BitBucket
  • Debugging and problem-solving data related issues that may arise

We’re hoping you’re good at or can quickly learn

  • SQL for data transformations
  • Cloud computing and serverless concepts
  • AWS infrastructure and Data Lakes
  • Python in the context of data engineering
  • Orchestrating DAGs in open-source frameworks such as Prefect, dbt, etc.
  • Working with large volumes of voter and commercial data
  • Command line tools
  • Source control systems, i.e., Git
  • Docker
  • CI/CD pipelines

Extra awesome if you

  • Show initiative and motivation to continuously learn and advance towards an advanced technical contributor role, e.g., Staff Data Engineer
  • Supportive of TargetSmart’s mission as a leading political data and data services firm serving Democratic & Progressive organizations
  • Have experience that directly translates to the types of problems we work to solve. Can ramp up and find ways to make a positive impact quickly.

Why work for us?

  • Our clients are doing important political work. Help us make things better, faster, and cheaper for them.
  • Kind and well-intentioned management and co-workers
  • Generous PTO and flexible work environment
  • Flexibility to work anywhere in the U.S.
  • $1200 per year stipend for home office expenses
  • Commitment to diversity, equity, and inclusion at the senior leadership level
  • Competitive benefits

o          401k with 100% of up to 3% of salary match

o          Employees choose between multiple health plan options. National provider.

o          HSA medical, FSA medical with rollover, FSA dependent care options

o          Dental and vision options

o          Long term disability, life insurance, cancer insurance options

About TargetSmart

TargetSmart is a leading provider of political data and technology that enables campaigns and organizations to successfully communicate with large audiences, personalize outreach, and create lasting relationships. Our superior politically-focused, consultative approach combines consumer data, databases, data integration and consulting solutions for personalized multichannel marketing strategies. TargetSmart leverages over 25 years of experience in data management to deliver high-performance, reliable data products and solutions.

This job is no longer open
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