Data Connections Engineer

Data Connections Engineer

Are you a data professional ready to join a dynamic team cracking the government’s most exhilarating data puzzles? Does the idea of using data to justify the adoption of business transformation excite you? Do you enjoy partnering with decision-makers to understand data insights and develop solutions that help them better control costs, ensure basic accountability, anticipate the future, measure performance, and maintain optimal operations? If so, IVERTIX is the place for you!  

IVERTIX  is seeking experienced Data Connections Engineers to join our team. As a Data Connections Engineer, you will play a crucial role in designing, developing, and maintaining our data infrastructure and systems. Your expertise in Python, Java, and SQL along with experience working with data integration tools and frameworks like Apache Kafka, Apache NiFi, or ETL tools will be essential in ensuring efficient data processing and analysis. 



  • Collaborate with cross-functional teams are also important, as the role involves working closely with data scientists, analysts, and software developers.
  • Developing, maintain, and optimize data pipelines that connect various systems and databases.
  • Design, implement, and troubleshoot data integration solutions to meet the data needs.


  • Secret clearance is required; TS/SCI clearance is preferred. 
  • Minimum of 5 years of demonstrated experience with data integration tools like Apache Kafka, NiFi, Talend, Informatica, or similar platforms to design and manage data pipelines.
  • Strong coding skills in languages such as Python, Java, or SQL to develop and maintain data connection scripts, transformations, and data manipulation.
  • Solid understanding of various database systems (relational and NoSQL), data modeling, and query optimization techniques
  • Minimum of 5 years of demonstrated experience with ETL processes, including data extraction from various sources, data cleansing and loading into destination systems.
  • Familiarity with working with APIs to connect and exchange data between different systems and applications.
  • Proficiency in cloud platforms like AWS, Azure, or Google Cloud for setting up and managing data pipelines in a cloud environment. 
  • Knowledge of version control systems like Git to manage and track changes to code and configurations.
  • Understanding of data security best practices and experience implementing encryption, authentication, and authorization mechanisms in data connections
  • Ability to diagnose and resolve issues in data pipelines, including identifying bottlenecks, data quality problems, and performance optimization.
  • Skill in setting up monitoring and logging systems to track the health and performance of data pipelines and detect anomalies.
  • Effective communication and teamwork skills to collaborate with data scientists, analysts, and software engineers in cross-functional projects.
  • Strong problem-solving skills to identify root causes of data integration challenges and devise effective solutions.
  • Experience with automating data integration processes and managing them through continuous integration and continuous deployment (CI/CD) pipelines.
  • Basic project management skills to plan, prioritize and execute data connection projects efficiently.
  • Ability to learn and adapt to new technologies, tools, and techniques as the field of data engineering evolves.
  • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams. 
  • Detail-oriented mindset with a commitment to delivering high-quality results. 
  • Must be in the DC Metro area and available to work onsite (Crystal City, VA and Alexandria, VA) 2-3 days per week. 

Nice to Have:  

  • Knowledge of Qlik/Qlik Sense, QVD/QlikView, and Qlik Production Application Standards (QPAS) is a significant plus.  
  • Recent DoD or IC-related experience. 

If you are passionate about leveraging your data connections engineering skills and working with cutting-edge technologies to enable efficient data analysis, we encourage you to apply. Join our team and be a part of our mission to provide streamlined and rapid access to critical information. 

Interview Requirements

  • Video Interview – Yes (may include technical assessment) 

Interview Prep: 

  • Candidates should be prepared to clearly articulate their experience creating data-related software applications from scratch (Recent evidence of this should be easily identifiable in their resume).  
  • Candidates should be prepared to clearly articulate data problems that their applications have solved in their past. 
  • Candidates should be prepared to discuss what technologies they have hands-on experience with and demonstrate in-depth understanding of those technologies during the technical assessment.  
  • Candidates should be prepared to clearly articulate their experience working with very large data sets/Big Data, like that of large federal agency.  
  • Candidates should be prepared to clearly articulate their proficiency with data and software-related programming languages and explain their thought processes related to problem solving.  
  • Candidates should be prepared to discuss their onsite availability. 

Fully Remote Option: 

  • Fully remote work schedules are not currently available.

Clearance Sponsorship: 

  • Clearable – US Citizens 

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