Level III Data Engineer

BMI Sales Nav Insights; Colorado; Híbrido; USD 100.000 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

401K matching

Paid vacation & sick leave

Bonus

Descripción de la vacante

Blue Margin is seeking a Level III Data Engineer to build and evolve data platforms powering analytics for our clients. You’ll work hands-on with Python, PySpark, Delta Lake, and cloud-native stacks to enable scalable data processing and AI integration.

Join a collaborative team to extend MCP Servers, ensure data quality and security, and collaborate with analysts and engineers. This full-time hybrid role is based in Fort Collins or Denver, with US work eligibility and no visa sponsorship.

Formación

• 4+ years of professional data engineering experience with Python and PySpark.
• Strong communication with technical and business stakeholders.
• Experience with large datasets, performance tuning, and Delta Lake.

Responsabilidades

• Build, test, and optimize data pipelines using PySpark, SparkSQL, Delta Lake, and cloud-native tools.
• Support incremental/delta data loading, partitioning, and performance tuning.
• Implement and support solutions across Azure Synapse, Microsoft Fabric, and/or Snowflake environments.
• Collaborate with analysts and senior engineers to turn requirements into working data solutions.
• Use AI/automation to improve development speed, testing, and data quality.
• Follow software engineering best practices, API and service design, testing, and secure authentication, in platform and MCP Server development.

Conocimientos

Python & PySpark

Data engineering

SQL

Communication

AI tooling

Educación

Bachelor's or Master's in CS/Engineering

Herramientas

Azure Data Factory

Synapse Pipelines

Snowflake

Fivetran

MCP Servers

Delta Lake

Microsoft Fabric

Descripción del empleo

Careers

Level III Data Engineer

At Blue Margin, we are on a mission to build the go-to data platform for PE-backed mid-market companies. We are a dynamic, customer-focused company providing hosted data platforms for companies across many industries. We’re passionate about leveraging the power of data to drive business success for our clients.

Description

About Us

At Blue Margin, we’re on a mission to build the go-to data platform for PE-backed mid-market companies. We provide hosted data platforms that help executives and operators turn data into a strategic advantage. We’re passionate about helping clients increase company value through better analysis and decision-making, and we’re looking for a Level III Data Engineer to strengthen our team.

Job Description

As a Level III Data Engineer, you will build, maintain, and improve the data platforms that power analytics for our clients. You will be hands‑on with data pipelines, large-scale data processing, and modern cloud data stacks, working within Blue Margin’s architecture and standards. You will also help build and extend the MCP Servers that connect our data platforms to AI and natural‑language applications. This role requires solid experience with Python (including PySpark/Apache Spark), experience working with high-volume data, and Delta Lake–based architectures. Exposure to Snowflake or Microsoft Fabric, and tools like Fivetran, Azure Data Factory, Synapse Pipelines, and MCP Servers, is highly valued.

On this team, you will help build and maintain our MCP Servers – the servers, their tools, and functionality, along with the performance, reliability, and security behind them. A separate team owns the data modeling and context gathering that power natural‑language querying, so your focus stays on building reliable platform capabilities.

If you’re motivated by solving complex data challenges, thrive in a collaborative environment, and enjoy applying AI to increase engineering productivity, this role offers the opportunity to grow your craft and make a meaningful technical impact. We are seeking a candidate to work as a full‑time employee in one of our local offices in Fort Collins or Denver where we work in a hybrid structure.

Please note that we are interested in every qualified candidate who is eligible to work in the United States. However, we cannot sponsor visas.

Responsibilities

• Build, test, and optimize data pipelines using tools like PySpark, SparkSQL, Delta Lake, and cloud‑native tools.
• Support incremental/delta data loading, partitioning, and performance tuning.
• Implement and support solutions across Azure Synapse, Microsoft Fabric, and/or Snowflake environments.
• Collaborate with analysts and senior engineers to turn requirements into working data solutions.
• Use AI/automation to improve development speed, testing, and data quality.
• Help build and extend custom MCP Servers, including their tools and functionality, that expose our data platforms to AI applications.
• Follow software engineering best practices, API and service design, testing, and secure authentication, in platform and MCP Server development.
• Follow team coding standards and best practices, and contribute improvements where you see them.
• Uphold standards for data quality, security, and governance.
• Contribute to solution design for client engagements with the guidance of senior engineers.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 4+ years of professional experience in data engineering, with emphasis on Python & PySpark/Apache Spark.
• Good communication skills; ability to explain technical details to both engineers and business stakeholders.
• Concrete experience leveraging AI and AI‑assisted tools to accelerate engineering workflows.
• Experience managing large datasets and optimizing for speed, scalability, and reliability.
• Solid SQL skills and understanding of relational and distributed data systems.
• Exposure to Azure Data Factory, Synapse Pipelines, Fivetran, Delta Lake, Microsoft Fabric, MCP Servers, or Snowflake.
• Familiarity with data modeling, orchestration, and Delta/Parquet file management best practices.
• Familiarity with CI/CD, version control, and DevOps practices for data pipelines.
• Software engineering fundamentals & familiarity with LLM tool‑calling or MCP Server patterns is a strong plus.
• Relevant certifications (Azure, Snowflake, or Fabric) are a plus.

What Success Looks Like

We Measure This Role Against Clear, Shared Expectations

Our Culture

• Company Core Values: Commit to Quality, Embrace Transparency, Choose to Be Positive, Be Efficient/Systematize, Pursue Learning, Be Generous.
• We believe that in‑person interaction is vital to solid work relationships, and we cater lunch every Friday.
• Weekly personal and professional development programs for all.
• Teamwork – we maintain company‑wide interaction and communication.
• Entrepreneurism – we want everyone on our team to be eager to adapt and evolve with our advancing business. We are looking for someone who is comfortable wearing more than one hat.

Work Environment And Physical Requirements

This position may require minimal physical effort including lifting materials and equipment of less than 10 pounds. This position requires viewing a computer screen more than 80 percent of the time. The job will take place in a normal office environment with controlled temperature and lighting conditions. This position may require some travel and occasional participation in off‑site functions.

Salary and Benefits

• This is a full‑time position with a starting salary range of $100K – $120K and is commensurate with experience and qualifications.
• Benefits include health, dental and vision insurance, short‑and‑long‑term disability, 401K matching, health club stipend, paid vacation, sick leave, and a bonus structure.

Is This Job For You? Join Us!

This role is for someone who takes ownership, builds lasting relationships, and performs at a high level. If that’s you, we’d love to meet you.