Analytics Engineer

Coda Search│Staffing; Fort Worth (TX); Hybrid; USD 90,000 - 130,000; Full time

Job summary

Coda Search│Staffing is partnering with a growing investment organization to hire an Analytics Engineer to join a small, highly visible data team in Fort Worth. You’ll span data engineering and analytics, from Databricks ingestion to modeling and delivering trusted data to business users via Power BI.

The role targets 3–5 years of experience, with hands-on Databricks, SQL, ETL/ELT, and data modeling, plus collaboration with non-technical stakeholders. Hybrid onsite in downtown Fort Worth.

Qualifications

• 3+ years in analytics engineering or related data role.
• Hands-on experience with Databricks.
• Experience building ETL/ELT pipelines.
• Strong data modeling knowledge (dimensional models or semantic layers).
• Experience with Power BI or similar platforms.
• Exposure to PySpark, Delta Lake, Medallion architecture is desirable.
• Ability to collaborate with both engineering and analytics teams.
• Comfortable working with non-technical stakeholders.

Responsibilities

• Build and maintain ingestion and transformations in Databricks.
• Develop scalable data models and semantic layers for analytics.
• Work with SQL, ETL/ELT, and data modeling.
• Transform data using PySpark, Delta Lake, Medallion architecture
• Prepare trusted datasets for downstream platforms like Power BI.
• Collaborate with business stakeholders to identify reporting needs.
• Improve analytics workflows with modern AI-enabled tools.

Skills

SQL proficiency

Data modeling

Stakeholder communication

BI development

Tools

Databricks

Power BI

PySpark

Delta Lake

Medallion architecture

ETL/ELT pipelines

Job description

We are partnering with a growing investment organization looking to add an Analytics Engineer to a small, highly visible data team.

This is a great opportunity for someone with 3–5 years of experience who sits at the intersection of data engineering and analytics. You’ll work across the full data lifecycle, from ingesting data into Databricks through transformation and modeling, ultimately delivering trusted data to business users through Power BI and other reporting platforms.

The environment includes a significant amount of financial and operational data, including accounting, valuations, deals, cash flow, and application data used across different areas of the business.

What You'll Do

• Build and maintain data ingestion and transformation pipelines within Databricks
• Develop scalable data models and semantic layers for analytics and reporting
• Work extensively with SQL, ETL/ELT, and data modeling
• Transform data using tools such as PySpark, Delta Lake, and Medallion architecture
• Prepare trusted datasets for downstream platforms including Power BI
• Work with data from SQL databases, APIs, SaaS applications, and data lake environments
• Partner directly with business stakeholders to understand reporting and analytics needs
• Help improve development and analytics workflows through modern AI-enabled tools and practices

What We're Looking For

• 3+ years of experience in analytics engineering, data engineering, BI development, or a similar data-focused role
• Hands-on experience with Databricks
• Experience building ETL/ELT pipelines
• Strong understanding of data modeling, including dimensional models and/or semantic layers
• Experience working with Power BI or similar analytics platforms
• Exposure to PySpark, Delta Lake, and Medallion architecture is highly desirable
• Ability to work across both the engineering and analytics sides of a data environment
• Comfortable working directly with non-technical business stakeholders

Financial services experience is a plus, particularly experience working with investment, fund, accounting, treasury, or other financial datasets, but it is not required.

This role is best suited for someone who wants more than a traditional BI position. You'll have the opportunity to work across data ingestion, engineering, modeling, governance, and analytics while joining a team where you can take ownership early and continue growing technically.

Work Model:

Hybrid, 3 days per week onsite in downtown Fort Worth