✦ Luna Orbit — Data & Analytics

Advisor III, Data Engineering

at DCP Midstream

📍 Houston, TX, US, 77042 Unknown 💰 $121K – $148K USD / year Posted March 19, 2026
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Position Details

Salary $121K – $148K USD / year
Type Not Specified
Experience mid
Exp. Years 3+ years
Education High School Diploma or GED
Category Data & Analytics

About this role

This role involves designing and building scalable data pipelines, managing data governance, and optimizing data processing performance in a cloud environment. The candidate will work with Databricks, PySpark, and various cloud tools.

Key Responsibilities

  • Build data pipelines
  • Ensure data quality and governance
  • Optimize data processing performance
  • Collaborate with platform teams
  • Manage cloud-based data solutions

Technical Overview

The technical environment includes Databricks, Azure Data Factory, Synapse, Terraform, Kafka, Kinesis, and Power BI. The focus is on data pipeline development, data modeling, and performance tuning.

Ideal Candidate

The ideal candidate is a mid-level data engineer with 3+ years of experience in building data pipelines, data modeling, and governance. They should have hands-on experience with Databricks, PySpark, SQL, and cloud platforms like Azure or AWS.

Must-Have Skills

3+ years in data engineering or analyticsexperience with cloud platforms (AzureAWSGCP)building pipelines in Databricksdata modeling (dimensional3NF)SQL and Python (PySpark)data governance and securityETL/ELT pipeline developmentperformance tuning in Spark/Databricks

Nice-to-Have Skills

Data Vault 2.0Delta LakeML/AI experienceCI/CD pipelinesIaC with Terraform

Tools & Platforms

DatabricksAzure Data FactorySynapseTerraformGitPower BITableauKafkaKinesisEvent Hubs

Required Skills

DatabricksPySparkSQLData Vault 2.0Delta LakeETLELTData governanceCloud platformsAzureAWSGCPPower BITableauKafkaKinesisEvent HubsTerraform

Hard Skills

DatabricksPySparkSQLData Vault 2.0Delta LakeAzure Data FactorySynapseTerraformGitPower BITableauMLData governanceData modelingETLELTSparkPerformance tuningCost optimizationKafkaKinesisEvent Hubs

Soft Skills

collaborationproblem-solvingindependent workanalytical thinkingcommunication

Industry & Role

Industry Energy
Job Function Data pipeline development and data governance
Role Subtype Data Engineer
Tech Domains Databricks, Azure Data Factory, Synapse, Terraform, Power BI, Tableau, Kafka, Kinesis, Event Hubs

Keywords for Your Resume

data engineeringdatabrickspysparksqldelta lakedata vault 2.0etleltdata governancecloud platformsazureawsgcppower bitableaukafkakinesisevent hubsterraform

Deal Breakers

Less than 3 years of relevant experience, Lack of experience with Databricks or PySpark, No experience with cloud platforms (Azure, AWS, GCP), No knowledge of data modeling or governance

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