Data Engineer

Conch Technologies Inc; Grapevine (TX); On-site; USD 90,000 - 130,000; Full time

Job summary

Conch Technologies, Inc. is seeking a Databricks-heavy Data Engineer for fully onsite work in TX. The role focuses on building and maintaining data pipelines, data models, and data quality practices within a Lakehouse environment.

Collaboration with business partners and a proactive approach are essential to success. Ideal candidates will have strong SQL and Python skills, experience with dimensional and normalized modeling, and familiarity with retail data domains such as sales, inventory, and

Qualifications

• Strong SQL with advanced joins, window functions, CTEs, and performance tuning.
• Python experience for data processing and automation using pandas or PySpark.
• Hands-on database and data warehouse modeling experience incl. dimensional and normalized modeling.

Responsibilities

• Develop and maintain data pipelines in a Lakehouse environment.
• Ensure data quality, testing, monitoring and production support best practices.
• Collaborate with business partners to understand data requirements and deliver reliable data products.

Skills

SQL proficient

Python data processing

Data modeling

Data pipelines (medallion architecture

Data quality and monitoring

Retail data domains

Tools

Databricks

Lakehouse

Job description

Title: Data Engineer

Location: Fully Onsite in , TX - looking for local candidates

Duration: 6+Months

Required

• Strong SQL skills, including advanced joins, window functions, CTEs, and performance tuning.
• Python experience for data processing and automation using pandas or PySpark.
• Hands‑on database and data warehouse modeling experience, including dimensional and normalized modeling.
• Experience developing and supporting data pipelines using a medallion architecture with Bronze, Silver, and Gold layers.
• Understanding of data quality, testing, monitoring, and production support best practices.
• Experience working with retail data domains such as sales, inventory, products, pricing, merchandising, replenishment, logistics, or supply chain is preferred.

The ideal candidate is:

• A Databricks-heavy Data Engineer
• Comfortable in a Lakehouse environment
• Strong in SQL and Python
• Able to communicate effectively with business partners
• A proactive self-starter who can hit the ground running
• Someone who can own problems rather than wait for direction