Data Engineer

Axogen • Tampa, FL

5h • $92,293 - $120,000

About The Position

We are looking for a skilled and passionate Data Engineer to join our growing Data & Analytics team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and our enterprise data warehouse. You will work closely with data analysts, AI/ML Engineers, and business stakeholders to ensure timely and reliable data delivery across the organization.

Requirements

• Minimum 4 years of experience in data engineering or a related role required.
• Bachelor’s in computer science, engineering, or related field required.
• Proficiency in SQL (advanced queries, performance tuning, stored procedures).
• Hands-on experience with cloud data warehouses: Snowflake, Google BigQuery, Databricks, or Microsoft Fabrics.
• Strong experience with Python or Scala for data transformation and pipeline development.
• Experience with orchestration tools: Apache Airflow, Prefect, or Dagster.
• Proficiency with dbt (data build tool) for transformation and data modeling.
• Familiarity with cloud platforms: AWS, GCP, or Azure.
• Experience with version control (Git) and CI/CD pipelines for data workflows.
• Solid understanding of data modeling concepts: dimensional modeling, star/snowflake schemas.
• Experience integrating streaming or real-time data (Kafka, Spark Streaming, Kinesis) is a plus.

Nice To Haves

• Experience with data Lakehouse architectures (Delta Lake, Apache Iceberg, or Apache Hudi).
• Familiarity with data quality frameworks (Great Expectations, Soda, etc.).
• Knowledge of containerization and infrastructure-as-code (Docker, Terraform, Kubernetes).
• Experience with BI tools such as Tableau, Looker, or Power BI.

Responsibilities

• Design, develop, and maintain robust ETL/ELT data pipelines to ingest data from diverse sources including databases, APIs, and flat files.
• Build and manage the enterprise data warehouse, ensuring data accuracy, consistency, and optimal performance.
• Architect and implement data models (star/snowflake schemas) to support BI and analytics use cases.
• Monitor, troubleshoot, and optimize pipeline performance, data quality, and warehouse queries.
• Collaborate with data analysts and scientists to understand data requirements and deliver reliable datasets.
• Implement data governance, lineage tracking, and documentation best practices.
• Automate pipeline orchestration using tools such as Apache Airflow, dbt, or similar.
• Ensure data security, access control, and compliance with data privacy regulations (GDPR, CCPA, etc.).
• Evaluate and adopt new tools and technologies to improve data infrastructure.
• Participate in code reviews and contribute to engineering standards and best practices.
• Partner with stakeholders to identify automation opportunities and deliver Innovative solutions
• Provide technical guidance and mentorship on data and automation solutions.
• Stay current with latest data modernization industry trends

Benefits

• Most benefits are effective on day one!
• Comprehensive, high-quality benefits package effective on date of hire
• Educational assistance available for all employees
• Matching 401(k) retirement plan
• Paid holidays, including floating holidays, to be used at your discretion
• Employee Stock Purchase Plan
• Referral incentive program
• This position is eligible for an annual bonus.
• Benefits offered for this position include Health, Dental, Vision, Matching 401K, Paid Time Off, 9 Paid Holidays + 3 Floating Holidays, Dependent Care Flexible Spending Accounts, Medical Flexible Spending Accounts, Tuition Reimbursement, Paid Parental Leave, Paid Caregiver Leave, Basic Life Insurance, Supplemental Life Insurance, Employee Stock Purchase Plan, and Disability Insurance, as described in more detail in summary plan descriptions.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 101-250 employees