Senior Data Engineer

CirrusLabs

Location not stated
Senior
8 months ago

AI/ML
Agile
ETL
ELT
Databricks
Delta Lake
Python
SQL
PySpark
SCADA
Great Expectations
CI/CD
Azure
Snowflake
Data Architecture

8 months ago

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We areCirrusLabs. Our vision is to become the world's most sought-after niche digital transformation company that helps customers realize value through innovation. Our mission is to co-create success with our customers, partners and community. Our goal is to enable employees to dream, grow and make things happen. We are committed to excellence. We are a dependable partner organization that delivers on commitments. We strive to maintain integrity with our employees and customers. Every action we take is driven by value. The core of who we are is through our well-knit teams and employees. You are the core of a values driven organization.

You have an entrepreneurial spirit. You enjoy working as a part of well-knit teams. You value the team over the individual. You welcome diversity at work and within the greater community. You aren't afraid to take risks. You appreciate a growth path with your leadership team that journeys how you can grow inside and outside of the organization. You thrive upon continuing education programs that your company sponsors to strengthen your skills and for you to become a thought leader ahead of the industry curve.

You are excited about creating change because your skills can help the greater good of every customer, industry and community. We are hiring a talented<Job Title>to join our team. If you're excited to be part of a winning team, CirrusLabs (http://www.cirruslabs.io) is a great place to grow your career.

Role: Senior Data Engineer
Location: On-site at Spring, TX- 5 Days Onsite Each Week
Work Authorization: US Citizens/Green Card Holders/H1B
Contract Duration: 12-Month Contract

Overview
The Senior Data Engineer will lead the design, development, automation, and optimization of scalable cloud and on premises data infrastructure supporting enterprise applications, advanced analytics, and AI/ML workloads. Operating within an agile environment, this role requires close collaboration with software engineering, infrastructure, and data science teams to deliver secure, reliable, and high performance data systems aligned with enterprise standards.

Responsibilities:
Design, build, and optimize scalable ETL/ELT pipelines using Databricks, Delta Lake, Python, SQL, and related data engineering technologies.
Demonstrate expert-level proficiency in PySpark and Databricks Lakehouse architectures, including schema evolution, ACID transactions, data quality enforcement, and cost and performance optimized handling of large, complex datasets—aligned with upstream telemetry, SCADA-scale data, and ExxonMobil's high throughput processing needs.
Improve data ecosystem efficiency by implementing Lakehouse based bronze/silver/gold architectures, reducing processing times through optimization techniques, enforcing data quality frameworks such as Great Expectations, and enhancing storage and retrieval patterns.
Collaborate with cross functional teams—data scientists, engineers, product owners, and business stakeholders—to translate business requirements into robust technical designs supporting AI/ML enablement, feature engineering, real time analytics, and production grade data workflows.
Strengthen CI/CD and data governance practices through automation, version control, testing frameworks, and scalable deployment patterns for data pipelines and platform components.

Qualifications:
Strong background across Azure, Snowflake, Delta Lake, Databricks and CI/CD automation, bringing the cross cloud, governance minded, and automation driven engineering approach required for ExxonMobil's integrated enterprise scale data architecture.

Top 3 Skills:
Azure
Data Knowledge on Snowflake, Delta Lake and Databricks
CI/CD

Senior Data Engineer · CirrusLabs

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