Senior Data Engineer

Bitful Inc.; Wadsworth (OH); On-site; USD 110,000 - 160,000; Full time

Job summary

Bitful Inc. is seeking an experienced Data Engineer to build and maintain data pipelines and datasets powering finance, sales, supply chain and more.

You will work in a Databricks lakehouse environment, ingesting and transforming data with Python, PySpark and SQL, and creating data models for Tableau/Spotfire. You will collaborate with analysts and stakeholders, improve data quality, and implement automated testing, monitoring and CI/CD practices to ensure reliable, scalable analytics across

Qualifications

• 7+ years of experience building and supporting production data pipelines.
• Strong SQL, data modeling and data warehousing knowledge.
• Hands-on Databricks, Spark, and cloud data platforms experience.
• Proficient in Python and PySpark.
• Experience ETL/ELT pipelines and multi-source data integration.

Responsibilities

• Develop and maintain scalable data pipelines and reusable datasets.
• Validate, clean, and transform structured and unstructured data.
• Build data models and reporting datasets for BI tools.
• Integrate data warehouses with modern cloud analytics platforms.
• Improve pipeline reliability, data quality, and performance.
• Implement automated testing, monitoring, and CI/CD practices.
• Collaborate with analysts, architects, developers and stakeholders.
• Provide technical guidance and mentor other data engineers.

Skills

SQL

Python

PySpark

Databricks

Data modeling

Data warehousing

CI/CD

Data quality

Data pipelines

Communication

Tools

Databricks

Apache Spark

Tableau

Spotfire

Oracle

Informatica

R

Data virtualization

CI/CD tooling

Job description

• You’ll build and maintain data pipelines and datasets that support reporting, visualization, machine learning and data-driven decision making across finance, sales, supply chain, marketing and other business functions.
• Your responsibilities will include:
  • Developing and maintaining scalable data pipelines and reusable datasets within a Databricks lakehouse environment
  • Ingesting, validating, cleaning and transforming structured and unstructured data from multiple sources using Python, PySpark and SQL
  • Building data models and reporting datasets that support Tableau and established analytics tools such as Spotfire
  • Integrating established data warehouse and reporting systems with modern cloud analytics platforms
  • Improving pipeline reliability, data quality and processing performance
  • Implementing automated testing, monitoring, documentation and CI/CD practices
  • Partnering with analysts, architects, developers and business stakeholders to deliver practical data solutions
  • Providing technical guidance, reviewing code and mentoring other data engineer

• 7+ years of experience in data engineering, including building and supporting production data pipelines
• Strong SQL skills and a solid understanding of data modeling, database design and data warehousing
• Hands‑on experience with Databricks, Apache Spark and cloud data platforms
• Strong proficiency in Python and PySpark
• Experience developing ETL/ELT pipelines and integrating data from multiple source systems
• Experience preparing reliable datasets for Tableau or comparable business intelligence tools
• Familiarity with source control, automated testing and CI/CD practices
• Ability to troubleshoot complex data issues and optimize pipeline performance
• Strong communication skills and experience collaborating with technical teams and business stakeholders
• Experience with Spotfire, Oracle, Informatica, R or data virtualization preferred
• Databricks certification preferred