Senior Data Engineer — Real-Time Pipelines for Exploration

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

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Disability insurance

Paid time off

401k plan

Holiday pay

Direct deposit every week

Job summary

Inceed has partnered with a client to recruit a Data Engineer to join their exploration-focused data initiative. You’ll design scalable data pipelines, integrate diverse data sources, and support near real-time analytics to enable large-scale business insights.

This role focuses on building the data foundation behind analytics and pipelines across complex datasets. If you enjoy solving hard problems in a collaborative environment, this high-impact opportunity offers meaningful contribution to a

Qualifications

• 8+ years of 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 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

Advanced SQL

Python

Data modeling

ETL/ELT

Education

Bachelor's degree in a relevant field

Tools

Snowflake

Databricks

BigQuery

Azure

AWS

GCP

Job description

Inceed has partnered with a client to recruit a Data Engineer to join their exploration-focused data initiative. You’ll design scalable data pipelines, integrate diverse data sources, and support near real-time analytics to enable large-scale business insights.

This role focuses on building the data foundation behind analytics and pipelines across complex datasets. If you enjoy solving hard problems in a collaborative environment, this high-impact opportunity offers meaningful contribution to a