Senior Data Engineering Consultant
Listed on 2026-03-12
-
Engineering
Data Engineer -
IT/Tech
Data Engineer
We’re hiring a Senior Data Engineering Consultant!
Employment type:
Full Time/Direct Hire (No Agencies or C2C)
Location:
Washington DC Metro Area
Location Type:
Hybrid (1 day per week onsite)
The Ippon story started in 2002 in Paris, France - cue in the accordion. Our founder and CEO Stéphane Nomis used his unique experience as an international Judo champion to create a culture based on the sports values of ambition and excellence. Our USA Headquarters office is located in Richmond, VA, with additional offices in New York, NY, Washington DC, and Atlanta, GA.
We are a technology consulting firm that specializes in helping accelerate our client’s digital roadmap in the areas of Product Management, Cloud, Data, and Software Engineering.
We are currently seeking a Senior Data Engineering Consultant to support our clients by designing, optimizing, and maintaining data pipelines, architectures, and real-time processing systems. This person will seamlessly collaborate with cross-functional teams, nearshore partners and client stakeholders in order to identify and vet client needs in order to deliver high quality engagements and solutions. We are looking for someone to help continue building our brand and position our organization for long-term success with our data-driven clients.
Roles and Responsibilities- Create and optimize end-to end data pipelines and perform and enhance real-time data processing.
- Identify client needs and provide customized solutions across many major data platforms (Snowflake, Databricks, and more) atop all major cloud platforms.
- Research and prototype new technologies using EMR, Kafka, Spark, Airflow, Flink, etc.
- Perform coding using various programming and scripting languages to automate data ingestion and improve data management processes.
- Support and develop data flows by developing processes that verify, standardize, and scale data input, transformation and storage.
- Design and implement Data Architectures, customize storage and extraction, metadata, and information repositories.
- Utilize programming languages like Kafka, Java, Scala, Python and Open Source RDBMS and No
SQL databases and Cloud based data warehousing services such as Snowflake and Redshift. - Work on a variety of projects involving data architecture, data models, data migration, data integration, data analysis, and visualization.
- Work with clients from Latin America and communicate with them in Spanish regarding complex technological concepts.
- Serve as subject matter expert on data engineering and management best practices.
- Stay on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community.
- Work with Data Scientists and Data Owners to understand use cases and hypotheses to test with data.
- Establish data governance models and contribute to strategies for enterprise data management.
- Perform extensive data profiling and analysis based on the client's data and needs.
- Work with software development teams and stakeholders to define reporting requirements.
- Support project delivery on Data Warehouse/BI projects for external clients, including partnering with subject matter experts on project execution.
- Support clients in developing and implementing data engineering process improvement plans.
Education:
Bachelor’s degree in Information Technology or a related field
Experience:
4 years, including 4 years of working in the position of Data Engineer, Software Developer or related experience
- experience using traditional RDMS systems (MSSQL, Oracle, Postgres, MySQL)
- experience building Continuous Integration/Continuous Deployment + infrastructure as code
- Data Architecture experience
- experience using Kafka, Java, Scala, Python
- experience using No
SQL databases and Cloud based data warehousing services such as Redshift or Databricks - experience working within a team in an Agile development environment, managing stakeholders, defining requirements and participating in Agile ceremonies
- experience translating technical solutions into business outcomes
- experience developing pipelines in…
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