Data Engineer III (Local to Houston, TX only)

Resolve Tech Solutions Inc; Houston (TX); Hybrid; USD 110,000 - 150,000; Full time

Job summary

Resolve Tech Solutions Inc. is seeking a Data Engineer III to analyze large volumes of operational and process data and build dashboards using Databricks, Power BI, SQL, and Python. The role emphasizes turning data into actionable insights and performance improvements.

Hybrid work arrangement in the Houston area with a focus on upstream data and oil and gas contexts. Strong data analysis, problem-solving, and communication skills are essential.

Qualifications

• Databricks, Snowflake, Data Historian, or similar data sources.
• SQL & Python data querying, analysis, and coding.
• Experience with Snowflake, data historians, or similar data sources.
• Experience analyzing large volumes of operational/time-series data.
• Strong data analysis and problem-solving skills.
• Ability to communicate technical findings clearly.

Responsibilities

• Analyze large volumes of operational and process data.
• Create dashboards to identify trends and improve performance.
• Collaborate with cross-functional teams to translate data into insights.

Skills

Databricks

Power BI

SQL

Python

Job description

Interview: 60-minute Zoom Video Interview

Hybrid

Local candidates only

Databricks expert with Power BI and Python experience. Working with Upstream data is huge plus and Oil and Gas.

Top 3 Required Skills

• Data Analysis – Databricks, Snowflake, Data Historian, or similar data sources
• SQL & Python – Data querying, analysis, and coding

Job Summary

We are looking for a Data Engineer III with strong experience in Databricks, Power BI, SQL, and Python to analyze large volumes of operational and process data and create dashboards that help identify trends and improve performance.

Required Skills

• Databricks – data extraction, integration, transformation, querying, and analysis.
• Power BI – dashboard development and data modeling.
• SQL and Python – coding, data analysis, and transformation.
• Experience working with Snowflake, data historians, or similar data sources.
• Experience analyzing large volumes of operational/time-series data.
• Strong data analysis and problem-solving skills.
• Ability to communicate technical findings clearly.