Data Engineer

At Celero, we’re building smarter, data-driven solutions to power the future of payments and we’re looking for a talented, growth-minded Data Engineer to help us do it.

As part of our expanding analytics team, you will play a key role in designing, building, and maintaining modern data infrastructure within the Microsoft ecosystem. This includes developing reliable, scalable data pipelines in Microsoft Fabric and enabling self-service analytics through Power BI to support better, faster decision-making across the organization.

This role is ideal for someone with a strong foundation in Python-based ETL, data modeling, and cloud-native data engineering who thrives in a dynamic environment and is excited to contribute to a rapidly evolving Microsoft Fabric landscape.

Responsibilities

• Design and develop scalable data pipelines using Microsoft Fabric Lakehouse, Pipelines, and Dataflows
• Build and maintain ETL/ELT processes using Python, PySpark, and Fabric Notebooks
• Ingest and transform data from diverse sources (APIs, SQL databases, flat files) into OneLake and curate clean, analytics-ready tables
• Develop and maintain semantic models and Power BI datasets to support reporting and analytics
• Partner closely with analysts, data scientists, and business stakeholders to translate requirements into high‑quality technical solutions
• Implement data quality checks, monitoring, and validation to ensure reliable and observable pipelines
• Optimize performance of transformations and queries within Fabric and Power BI
• Document data models, pipeline logic, and operational processes to ensure maintainability

Experience & Requirements

Must‑Have Skills

• 3+ years of experience in a data engineering or data integration role
• Hands‑on experience with components of Microsoft Fabric (Lakehouse, Pipelines, Notebooks, or OneLake) or equivalent data engineering tools with willingness to ramp up quickly
• Proficient in Python for data transformation, automation, and scripting
• Solid experience with Power BI, including dataset modeling, DAX, and performance tuning
• SQL, ability to write complex queries for reporting, debugging and identifying data discrepancies. Experience in data modeling (dimensional/star schema), and data warehousing principles
• Experience with Spark or PySpark in big data contexts
• Understanding of cloud platforms (preferably Azure) and data storage formats (Parquet, Delta, JSON, etc.)

Nice-to-Have Skills

• Experience in the FinTech and/or Merchant Services industry.
• Exposure to CI/CD practices for data pipelines and version control (Git).
• Familiarity with data governance, security, and compliance frameworks (e.g., PCI, SAC).
• Experience with orchestration tools such as Fabric pipelines, ADF, or Airflow.

Reports to: VP of Business Intelligence

Start date: Immediate

Location: Remote

Employment type: Full-time; Exempt

Benefits: We provide a comprehensive benefits package including health insurance, dental, vision, life insurance, identify theft protection, paid time off, and 401k (4% match)

To learn more about our company, please visit Celero Commerce LinkedIn or Facebook pages:

Celero Commerce provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Please Note: Celero Commerce participates in E-Verify and performs background checks on all new hires. We will provide the Social Security Administration (SSA) and if necessary, the Department of Homeland Security (DHS), with information from each new employee’s form I-9 to confirm work authorization. Please note that we are currently unable to consider applicants residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Rhode Island, Vermont, or Washington.