Data Engineer at Resultant | Powderkeg

Company Description

We are a passionate team of 300+ engineers, mathematicians, data analysts, project managers, and business consultants. But more importantly, we are active listeners, deep thinkers, and courageous problem solvers.

The Resultant team purposefully comes together to produce a positive outcome. Our name symbolizes our commitment to empathy and collaboration—of not just delivering our clients with the best solutions, but to deeply listening to them, understanding their needs, and learning from each other in the process. The force of Resultant comes from the combined knowledge, passion, and innovation of our team and partners.

Together, we partner with clients in the public and private sectors to help them overcome their most complex challenges, empowering our clients to drive meaningful change in their organizations and communities. In everything you do, you’ll help your clients, colleagues, and communities thrive.

Resultant was founded as KSM Consulting in 2008.

Job Description

We are looking for Data Engineers to join our talented data analytics team. As a Data Engineer, you will work closely with many teams across our company on complex, advanced analytical projects to perform data sourcing, data profiling, and other data manipulation functions.

You will be directly responsible for the solutions we build for our clients, addressing their business needs through requirements gathering and collaborating on solution reviews. We are looking for self-starters with the skills necessary to empathize with the clients’ needs, translate technical complexities, develop appropriate solutions, and contribute to the growth of our technology and data-driven company.

Here’s what a typical day for you might look like:

  • Work closely with the solution leads, project managers, data architects, and data scientists on solution design, architecture, and implementation
  • Perform extraction, transformation, and loading of data from a wide variety of data sources using various data engineering tools and methods.
  • Query and process large data sets and perform data profiling and data quality assessments.
  • Design and implement data solutions for integration across systems that are both secure and operational.
  • Assist in creating database models and architecture design and documentation
  • Conduct research and development as well as contribute to the long-term positioning of and emerging technologies related to data sourcing, cleansing, and integration
  • Document and demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code.
  • Improve operations by conducting systems analysis; recommending changes in policies and procedures.
  • Participate in client-facing project activities such as requirements gathering, solution reviews, and explaining technical complexities and business benefits in layperson terms.


Some of the qualifications and skills we are expecting include the following:

  • A Bachelor’s degree in Computer Science, Engineering or a similar field is required (Master’s a plus)
  • 2+ years of data engineering, software engineering, or similar experience
  • 2+ hands-on industry experience working with SQL on various relational database platforms (Microsoft, Oracle, Hana, Postgres, etc). NoSQL a plus
  • 2+ ETL experience with tools like Azure Data Factory, Pentaho, SSIS, etc.
  • 2+ years of hands-on experience with object-oriented programming in Python (preferred) or similar such as Go, Rust, C#, etc.
  • 2+ years of data modeling experience
  • Strong verbal and communication skills
  • Collaborative team player who is detailed oriented, focused on solution quality and execution
  • Comfortable working across a wide range of project sizes and industries
  • Familiarity or experience with cloud platforms such as AWS, Azure, or GCP a plus
  • Experience with Docker for containerization and Kubernetes for orchestration a plus

Additional Information

Additional Information

What you should know about Resultant:

  • Rezzers are humble, hungry, and smart. We solve big problems, serve lots of clients, and are entirely committed to delivering transformative outcomes.
  • Rezzers are team players, deeply dedicated to the mission of the organization and to helping everyone around us be successful.
  • Resultant compensates well, rewarding performance that delivers positive outcomes for our clients and ensuring incentives are aligned to achieve our goals.
  • Resultant leaders work hard, serving as a shining example of what it means to be a great Rezzer. They are servant leaders, helping their team to be successful in all possible ways.
  • We have a great benefits package including unlimited vacation, significant 401k contributions, and several opportunities to develop yourself.
  • We pride ourselves in having the best talent in the industry and hope that you’re up for the challenge!

What our team members say about us…

  • “I love our true empathy and concern for our clients, it's very rare and appreciated. It is a pleasure to be a part of an organization like Resultant.”
  • “I learn something new every single day, and I feel like I'm a part of building an organization that has legs. I appreciate that I'm consistently humbled by the talent and caliber of our team.”
  • “The culture of the company is amazing, and the climate of my team is great. The benefits that employees are offered are better than competitors, and the one-on-one presence that my team lead gives is extremely beneficial to me.”

All qualified applicants will receive consideration for employment without regard to age, color, sex, disability, national origin, race, religion, or veteran status.

Equal Opportunity Employer

Job Summary
  • Job Title
    Data Engineer
  • Company
  • Location
    Indianapolis, IN (or Remote)
  • Employment Type
    Full time
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