JOB OVERVIEW

We are seeking an experienced Senior Data Engineer to design, develop, and maintain advanced data pipelines and warehousing solutions. This role demands expert-level SQL skills, a strong grasp of data warehousing models, API and streaming data integration, and the ability to optimize complex systems for performance and scalability.

REQUIRED SKILLS AND QUALIFICATIONS:

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
• 5+ years of experience in data engineering or a similar role.
• Advanced proficiency in Python for data pipeline development and automation.
• Extensive experience with Apache Airflow for workflow orchestration.
• Hands-on expertise with cloud platforms: GCP (especially BigQuery), AWS, and Azure.
• Proficiency with data ingestion tools such as Apache Kafka, Fivetran, Stitch, or similar technologies.
• Experience supporting reporting and visualization tools like Tableau, Power BI, or equivalent platforms.
• Strong knowledge of data warehousing concepts, design principles, and modeling techniques.
• Proven ability to integrate APIs and manage streaming data workflows.
• Expert-level SQL skills, with a track record of writing complex queries and tuning for performance.
• Exceptional problem-solving abilities and a detail-oriented mindset.
• Ability to thrive in both independent and collaborative settings in a fast-paced environment.

PREFERRED QUALIFICATIONS:

Familiarity with additional tools like Apache Spark, Snowflake, or dbt.
Experience with CI/CD pipelines or Infrastructure-as-Code (e.g., Terraform).
Knowledge of machine learning pipelines or integration with data science workflows
+Join us in leveraging the power of data to drive innovation and improve decision-making across our organization. If you are ready to take on this exciting challenge as a Data Engineer, we encourage you to apply!
Job Types: Full-time, Part-time
Pay: $95,231.00 - $140,768.00 per year

Application Question(s):

• Are you currently located in the Oklahoma City Metro Area?
• Do you currently hold an Oklahoma Driver’s License?

Location:

• Oklahoma City, OK 73102 (Required)

Work Location: Hybrid remote in Oklahoma City, OK 7310

• Design, build, and maintain scalable data pipelines using Python, Apache Airflow, and ingestion tools like Apache Kafka, Fivetran, or Stitch.
• Implement and optimize data warehousing solutions, applying knowledge of data modeling and design principles (e.g., star schema, snowflake schema).
• Manage data workflows across cloud platforms including Google Cloud Platform (GCP), AWS, and Azure, with a focus on BigQuery for large-scale analytics.
• Integrate APIs and streaming data sources into pipelines to support real-time data processing.
• Write and optimize complex SQL queries for performance, ensuring efficient data retrieval and transformation.
• Collaborate with stakeholders to deliver data solutions compatible with reporting tools like Tableau, Power BI, or similar platforms.
• Troubleshoot and enhance data pipeline reliability, ensuring seamless ingestion, processing, and visualization of data.
• Work closely with data scientists, analysts, and business teams to provide high-quality data for analytics and decision-making.
• Stay ahead of industry trends, exploring new tools and techniques to elevate SEQTEK’s data capabilities.