Senior Data Engineer IIIStellix Group • Oklahoma City, Oklahoma, United States
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Senior Data Engineer III
Stellix Group
- Oklahoma City, Oklahoma, United States
- Oklahoma City, Oklahoma, United States
À propos
The Position We are seeking a Senior Data Engineer to join our growing Enterprise Data & Analytics team. Our mission is to empower every team across the organization with timely, trusted, and actionable data. In this role, you will own and build our Enterprise Data Platform (EDP), which supports analytics and insights across the organization. Our technology stack includes Snowflake, dbt, Fivetran, Airflow, and Power BI, all running in the AWS cloud.
This is an individual contributor role with a strong emphasis on technical leadership, including ownership of architectural decisions and driving best practices, but without direct people management responsibilities. You’ll be responsible for designing, developing, and maintaining all components of the EDP. You will transform raw data into reliable, actionable insights that empower strategic decision-making enterprise wide.
This role offers a clear path for growth into Principal Data Engineer or Data Architect, based on demonstrated technical expertise, cross‑functional impact and innovation in data engineering. It’s ideal for someone who wants both technical ownership and strategic impact without people management responsibilities.
Responsibilities
Responsible for scoping, architecting, designing, and developing robust data engineering solutions—including data pipelines, data integration, and infrastructure.
Support the data architect in the creation of conceptual and logical data models. Own the creation of physical data model optimized for analytics, reporting, and AI/machine learning use cases.
Serve as the technical owner of the data platform—making architectural decisions, maintaining high code quality, and delivering scalable, reliable solutions.
Integrate data from diverse sources, including databases, APIs, flat files and cloud platforms.
Design and build performant, scalable data pipelines using tools like dbt, Fivetran, and Airflow.
Troubleshoot issues with production data pipelines and implement monitoring and alerting as needed.
Design and deliver curated datasets to support analytics engineers in building AI and BI solutions.
Collaboration & Data Quality (10%)
Collaborate across business, governance, QA and analytics teams to ensure data quality, consistency and successful solution delivery.
Implement data quality frameworks and automated tests to ensure integrity, trust and traceability across the pipeline.
Technology Best Practices & Innovation (15%)
Define and implement enterprise‑scale data engineering best practices, standards and guidelines across the development life cycle.
Stay up to date on the latest data engineering trends and technologies, advocate for new technologies and champion their adoption to continuously improve our data infrastructure.
Qualifications
Education : Bachelor’s degree in computer science, data science, software engineering, information systems or related quantitative field; master’s degree preferred.
Experience : 10+ years of data engineering experience, with at least 3years in a modern cloud/data stack. Demonstrated experience designing and implementing enterprise‑scale data platforms.
Technical Proficiency : Proficient in data management disciplines, including data integration, modeling, building data warehouses/lakes and data quality, or other areas relevant to data engineering responsibilities and tasks.
Communication & Mindset : Strong communication skills, to be able to clearly articulate technical concepts to non‑technical stakeholders. Strong problem‑solving skills and a proactive, ownership‑driven mindset.
Skills :
Proficiency in the design and implementation of modern data architectures such as cloud services (AWS, Azure, GCP) and modern data warehouse technologies (Snowflake, Databricks, Redshift, BigQuery). Experience with AWS and Snowflake preferred.
Experience with ETL/ELT design and development using tools such as Informatica, Matillion, AWSGlue or equivalent. Experience with Fivetran and dbt preferred.
Strong experience with database/big‑data technologies such as Oracle, SQLServer, Teradata, Apache Spark, Delta Lake and Hadoop.
Experience with DevOps/DataOps, CI/CD principles and technologies using tools such as BitBucket, Jenkins or similar.
Experience with Agile methodologies, common scrum practices and tools.
Familiarity with data quality and testing frameworks (e.g. dbt tests, Great Expectations, Soda) is a plus.
Here’s What You’ll Get
Highly competitive medical, dental and vision insurance
Flexible Spending or Health Savings Accounts
Unlimited vacation time
10 paid holidays
12 paid weeks maternity leave
Pet insurance
Retirement savings: 401(k) and employee stock ownership plan
Employee referral bonus
Professional development reimbursement
Company‑paid STD, LTD and life insurance
Must be currently authorized to work in the United States.
Please Note: Stellix is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, protected veteran status or any other characteristic protected by law.
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Compétences linguistiques
- English
Avis aux utilisateurs
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