Senior Data Engineer: Scalable Pipelines & Analytics

Inceed; Denver (CO); On-site; USD 90,000 - 117,000; Full time

Benefits offered by this job

Health insurance options

Dental & vision coverage

Paid time off

401k plan

Job summary

Inceed is partnering with a Denver-based client to hire a Data Engineer who will shape the data foundation for large-scale analytics, integrations, and pipelines across complex datasets in an exploration-focused initiative.

You will design scalable pipelines, ingest from APIs and streams, and drive near real-time analytics while collaborating with engineering and data teams. Bring 8+ years of data engineering and strong SQL and Python skills.

Qualifications

• 8+ years of relevant data engineering experience.
• Strong experience with large oil and gas datasets.
• Advanced SQL skills with complex querying and transformations.
• Proficiency in Python and data libraries like pandas and numpy.
• Hands-on cloud experience in Azure, AWS, or GCP.
• Experience with modern data platforms like Snowflake, Databricks, or BigQuery.
• Background building ETL or ELT workflows.
• Ability to work independently in ambiguous environments.

Responsibilities

• Design and build scalable data pipelines and architectures.
• Integrate data from APIs, databases, flat files, and streaming sources.
• Support near real-time analytics and operational data workflows.
• Collaborate with stakeholders, engineers, and data teams.
• Develop automation and BI solutions for business users.
• Ensure data quality, consistency, and reliability across systems.
• Contribute best practices for data engineering and process improvement.
• Evaluate emerging tools and technologies for future use.

Skills

SQL expertise

Python

Cloud experience

ETL/ELT workflows

Big data pipelines

Oil & gas datasets

Tools

Snowflake

Databricks

BigQuery

Kafka

Airflow

dbt

Fivetran

Matillion

SSIS

Denodo

Trino

Starburst

SQL Server

PostgreSQL

Job description

Inceed is partnering with a Denver-based client to hire a Data Engineer who will shape the data foundation for large-scale analytics, integrations, and pipelines across complex datasets in an exploration-focused initiative.

You will design scalable pipelines, ingest from APIs and streams, and drive near real-time analytics while collaborating with engineering and data teams. Bring 8+ years of data engineering and strong SQL and Python skills.