Data Engineering

Full Time



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As a Data Engineer, you are responsible for guiding the development of an exciting new application used by data scientists within a data-centric organization leveraging an event-driven architecture. You will help a team of engineers and developers on the application’s technical implementation, ushering the project from development to production use. Using your experience in data engineering and data science, you will also support the development and implementation of a strong, innovative product vision and communicate the application’s value proposition to customers, stakeholders, and leadership.

You will play an instrumental role in the success of the project by maintaining technical milestone roadmaps, identifying and mitigating risks and blockers, coordinating the effort with other interfacing development teams, and contributing meaningful code. As a Senior Data Engineer, you advocate for the practice of data science, and advise leadership on data science best practices, common design patterns or workflows, and organizational data strategies.


  • Looking for mid-senior level engineers with at least 4 years of relevant experience; 8-10 years preferred for Principal role

  • Bachelor’s Degree or equivalent required

  • U.S. Citizenship is required along with the ability to obtain a government sponsored Secret security clearance.  

  • At least 2 years of experience developing in languages commonly used for data analysis such as Python, R, Julia, or SAS

  •  Experience working with multiple database types such as SQL, Redis and MongoDB

  • Experience building and integrating the at the application and database level

  • Experience developing REST/SOAP APIs and messaging protocols and formats

  • At least 2 years of theoretical and practical background in statistical analysis, machine learning, predictive modeling, and/or optimization

  • Experience implementing event/data streaming services such as Kafka

  •  Experience prototyping front-end visualizations utilizing data visualization suites such as Kibana or Splunk

  •  Excellent verbal and written communications skills along with the ability to present technical data and approaches to both technical and non-technical audiences

  • Superior communication skills

  • A positive, willing attitude

  • An ability to think on your feet and solve problems quickly

  • Adaptability to learn new technologies

  • Comfortable working in an agile team environment

  • Technology and methodology agnostic, but knowledgeable of tools to the requirement

  • Enjoys coaching and teaching


We expect each member of our team to fully engage creatively and work collaboratively and perform each day to the best of their ability.  To support this, we have created a benefit package focused on professional growth, achieving a healthy work-life balance, and participation in the long-term success of the company.  Our benefits include: unlimited PTO days; an Employee Stakeholder Strategic Incentive Program (ESSIP); continuous learning culture with PlusOne (mini-TEDx-like events), Internal Investment Projects (IIP), meet-ups and other professional development activities; performance incentives that include spot bonuses and recruiting bonuses; 3% 401k Safe Harbor contributions; Medical/Dental/Vision, Long & Short-term Disability, AD&D insurance, and Life Insurance.  Each team member is also provided a benefits addendum that are added benefits tailored to your role to help you be more successful on day one.


Our core business as “The Full Stack Data Science Company” focuses on unifying data, infrastructure and analytics bringing the same rigor and automation to the development and deployment of Artificial Intelligence and Machine Learning (AI/ML) models, data and data science applications as one would to any modern software project. We are successfully engaged with a number of commercial and government organizations working in a variety of functional disciplines, including: Finance, Logistics, Manned and Unmanned Aviation, Command and Control, Intelligence, Cyber, and Higher Ed/Humanities. We believe this diversity of infrastructure, data, and application experience is valuable and is one of the attributes that sets ATA apart.