Senior Data Engineer

RBA, Inc.; Minnesota; On-site; USD 120,000 - 180,000; Full time

Job summary

RBA, Inc. is seeking a Senior Data Engineer to architect and deliver modern data platforms powering analytics, AI/ML, and BI initiatives. You will collaborate with client stakeholders, data scientists, and engineering teams to design scalable, secure data solutions across cloud environments.

You’ll design end-to-end data pipelines, support data-centric solutions, and mentor junior engineers while contributing to practice development and thought leadership.

Qualifications

• 5+ years of data engineering or modern data platform experience.
• Cloud data platform experience and strong SQL/data modeling.
• Experience with Databricks, Snowflake or Microsoft Fabric.
• Hands-on ETL/ELT with orchestration tools (Airflow/dbt/ADF).
• CI/CD and infrastructure-as-code for data solutions.
• Excellent communication for client-facing engagements.

Responsibilities

• Design and build scalable end-to-end data pipelines across diverse data sources.
• Support sales process for data-centric solutions.
• Implement modern data architectures with governance and security.
• Develop ETL/ELT pipelines using modern data platforms.
• Tune workloads for performance and cost in cloud environments.
• Implement real-time streaming data solutions (Kafka/Kinesis).
• Enable AI/ML use cases with data pipelines for feature engineering.
• Translate business needs into scalable technical solutions; contribute to strategy.
• Contribute to DevOps best practices including CI/CD and IaC (Terraform).
• Mentor junior engineers and contribute to practice development.

Skills

5+ years of data engineering or modern

Cloud data platform experience

SQL and data modeling

Azure/AWS/GCP experience

ETL/ELT orchestration (Airflow, dbt, A

Databricks/Snowflake/Microsoft Fabric

DevOps for data (CI/CD, IaC)

Client-facing communication

Solution design & technical leadership

Tools

Databricks

Snowflake

Microsoft Fabric

Airflow

dbt

ADF

Terraform

Job description

RBA is a trusted consulting partner helping enterprise and mid-sized organizations transform their businesses through modern technology solutions. We blend strategic thinking with deep technical expertise to deliver scalable, high-impact outcomes aligned to our clients’ goals. Our team partners with some of the most recognized companies in our market, while fostering a culture that values collaboration, growth, and meaningful work.

We are seeking a Senior Data Engineer to join our growing Data & Analytics practice. This is a client-facing, consultative role for someone who combines strong technical expertise with the ability to build trust, influence decisions, and help shape winning solutions.

In this role, you will architect and deliver modern data platforms that power analytics, AI/ML, and business intelligence initiatives. You’ll work closely with client stakeholders, data scientists, and engineering teams to design scalable, secure, and high-performing data solutions across a variety of cloud and data technologies.

What You’ll D

• Design and build scalable, end-to-end data pipelines across structured, semi-structured, and unstructured data sources
• Support sales process for data-centric solutions
• Implement modern data architectures (e.g., lakehouse, data warehouse, data mesh) with strong data quality, governance, and security practices
• Develop and optimize ETL/ELT pipelines using modern data platforms (e.g., Databricks, Snowflake, Microsoft Fabric, or similar
• Tune and optimize workloads for performance and cost efficiency across cloud-based data platform
• Implement real-time and streaming data solutions (Kafka, Kinesis, Event Hubs, or similar
• Enable AI/ML use cases by building data pipelines for feature engineering and model integration
• Partner with client stakeholders to translate business needs into scalable technical solutions—and contribute to shaping solution strategy during engagements
• Contribute to DevOps best practices including CI/CD and infrastructure-as-code (e.g., Terraform)
• Mentor junior engineers and contribute to practice development and thought leadership

What You Bring

• 5+ years of experience in data engineering or modern data platform development
• Strong experience designing and building scalable data solutions in a cloud environment
• Expertise in SQL, data modeling, and modern data architecture patterns, medallion architecture
• Experience with at least one major cloud platform (Azure preferred; AWS or GCP acceptable)
• Hands-on experience with ETL/ELT frameworks and orchestration tools (Airflow, dbt, ADF, or similar
• Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or equivalent technologies
• Solid understanding of DevOps practices for data, including CI/CD and infrastructure-as-code
• Strong communication and interpersonal skills, with the ability to operate effectively in client-facing environments
• Ability to balance hands-on development with solution design and technical leadership

Nice to Have

• Experience with Databricks and/or Spark-based data processing
• Databricks certification
• Experience with Snowflake
• Snowflake certifications
• Experience with Microsoft Fabric
• Microsoft certifications (e.g., Azure, Fabric-related certifications such as DP-600)
• Programming experience in Python or Scala
• Experience with enterprise data governance tools and frameworks
• Familiarity with vector databases and semantic search applications
• Experience supporting AI/ML workflows and cloud-based ML services
• Cloud certifications (Azure, AWS, or GPC)
• Experience with BI tools such as Power BI, Tableau, or Looker