Senior Data Engineer

B2Gnow • Phoenix, AZ

22h

About The Position

Senior Data Engineer Are you passionate about building modern, scalable data ecosystems that power products, analytics, and monetization strategies? Do you thrive in complex environments where architecture decisions matter and mentorship is part of the job? B2Gnow is seeking a Senior Data Engineer to lead sophisticated data initiatives, elevate engineering standards, and help future-proof our data platform. This is a high-impact role where technical depth, architectural vision, and leadership come together. What You’ll Do As a senior technical leader, you will own complex data architecture initiatives while mentoring engineers and shaping best practices across modeling, governance, performance optimization, and reliability. You’ll collaborate closely with software engineering, analytics, cloud engineering, and leadership to align data strategy with long-term platform goals and modernization efforts. You will: Architect, build, and maintain scalable ETL/ELT pipelines integrating data from customer applications, APIs, third-party platforms, public sources, and internal systems Write and optimize high-performance SQL queries and large-scale data transformations Define and enforce standards for data modeling, transformation, orchestration, testing, and documentation Make critical technical decisions around storage, pipelines, infrastructure, and tooling in partnership with cloud engineering Implement robust testing, monitoring, and observability strategies for pipeline health, performance, AI models, data freshness, and drift Lead troubleshooting efforts and proactively reduce technical debt Establish and lead code review processes that uphold quality, integrity, scalability, and security Drive improvements in operational excellence, reliability, and system scalability Own and document data processes, workflows, and integration standards to promote maintainability and knowledge sharing Lead cross-team initiatives to unify data across systems into scalable, modern platforms Ensure compliance with data security, governance, and privacy standards (NIST, GOVRAMP, FedRAMP, GDPR, etc.) Mentor, coach, and elevate the technical capabilities of fellow engineers What You Bring You combine deep technical expertise with strategic thinking and leadership capability. Advanced SQL expertise, including query tuning for very large datasets Strong experience building and optimizing scalable ETL/ELT pipelines Advanced knowledge of data modeling (star schema, snowflake schema, lakehouse patterns) Strong programming skills in Python (C#, Java, or Scala a plus) Experience with orchestration tools such as Apache Airflow (AWS Glue, Talend, Azure Data Factory, Databricks a plus) Strong experience with distributed computing frameworks (Spark, Flink) Deep experience with cloud-native data ecosystems: AWS (Redshift, Glue, S3, Bedrock, etc.) Azure (Synapse, Data Factory) GCP (BigQuery, Dataflow) Proven experience building CI/CD pipelines for data workflows Experience architecting both batch and real-time streaming pipelines (Kafka, Kinesis, Pub/Sub) Strong understanding of ML/Ops and advanced analytics pipelines Experience integrating AI/ML into data pipelines (e.g., AWS Bedrock or similar technologies) Extensive experience with BI tools (Power BI, Tableau) Strong background in data governance, cataloging, security, and compliance frameworks Experience with Git and modern version control practices Demonstrated leadership experience mentoring or guiding other data engineers Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field — or equivalent practical experience 5+ years of hands-on experience in data engineering or related roles Why This Role Matters This isn’t just another engineering role. You will shape the backbone of our data ecosystem, influencing architecture decisions, reducing technical debt, enabling product innovation, and driving long-term platform modernization. Your work will directly impact analytics, AI capabilities, product strategy, and monetization efforts across the organization. You’ll help ensure our data platform is scalable, secure, compliant, and ready for the future. If you’re ready to combine deep technical expertise with leadership, strategy, and meaningful impact, we’d love to connect. What We Offer B2Gnow provides a competitive benefits package designed to support your health, financial security, and work-life balance: Comprehensive coverage from Day One: Medical, dental, and vision insurance start on your first day Choice and flexibility: Choose from 11 nationwide UnitedHealthcare plans, including one 100% employer-paid plan for employee-only coverage Affordable dental & vision options 401(k) retirement savings: 100% employer match up to 4% of pre-tax salary contributions, with immediate vesting after three months Income protection: Employer-paid short- and long-term disability coverage Generous time off: 20 days of PTO, 14 paid holidays, and Summer Fridays to support work-life balance B2Gnow is an equal opportunity employer committed to building a diverse, inclusive, and equitable workplace. We believe varied backgrounds, perspectives, and experiences strengthen our team and lead to better outcomes for the communities we serve. We welcome applicants of all races, ethnicities, genders, ages, religions, sexual orientations, abilities, and veteran statuses.

Requirements

• Advanced SQL expertise, including query tuning for very large datasets
• Strong experience building and optimizing scalable ETL/ELT pipelines
• Advanced knowledge of data modeling (star schema, snowflake schema, lakehouse patterns)
• Strong programming skills in Python (C#, Java, or Scala a plus)
• Experience with orchestration tools such as Apache Airflow (AWS Glue, Talend, Azure Data Factory, Databricks a plus)
• Strong experience with distributed computing frameworks (Spark, Flink)
• Deep experience with cloud-native data ecosystems: AWS (Redshift, Glue, S3, Bedrock, etc.) Azure (Synapse, Data Factory) GCP (BigQuery, Dataflow)
• Proven experience building CI/CD pipelines for data workflows
• Experience architecting both batch and real-time streaming pipelines (Kafka, Kinesis, Pub/Sub)
• Strong understanding of ML/Ops and advanced analytics pipelines
• Experience integrating AI/ML into data pipelines (e.g., AWS Bedrock or similar technologies)
• Extensive experience with BI tools (Power BI, Tableau)
• Strong background in data governance, cataloging, security, and compliance frameworks
• Experience with Git and modern version control practices
• Demonstrated leadership experience mentoring or guiding other data engineers
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field — or equivalent practical experience
• 5+ years of hands-on experience in data engineering or related roles

Responsibilities

• Architect, build, and maintain scalable ETL/ELT pipelines integrating data from customer applications, APIs, third-party platforms, public sources, and internal systems
• Write and optimize high-performance SQL queries and large-scale data transformations
• Define and enforce standards for data modeling, transformation, orchestration, testing, and documentation
• Make critical technical decisions around storage, pipelines, infrastructure, and tooling in partnership with cloud engineering
• Implement robust testing, monitoring, and observability strategies for pipeline health, performance, AI models, data freshness, and drift
• Lead troubleshooting efforts and proactively reduce technical debt
• Establish and lead code review processes that uphold quality, integrity, scalability, and security
• Drive improvements in operational excellence, reliability, and system scalability
• Own and document data processes, workflows, and integration standards to promote maintainability and knowledge sharing
• Lead cross-team initiatives to unify data across systems into scalable, modern platforms
• Ensure compliance with data security, governance, and privacy standards (NIST, GOVRAMP, FedRAMP, GDPR, etc.)
• Mentor, coach, and elevate the technical capabilities of fellow engineers

Benefits

• Comprehensive coverage from Day One: Medical, dental, and vision insurance start on your first day
• Choice and flexibility: Choose from 11 nationwide UnitedHealthcare plans, including one 100% employer-paid plan for employee-only coverage
• Affordable dental & vision options
• 401(k) retirement savings: 100% employer match up to 4% of pre-tax salary contributions, with immediate vesting after three months
• Income protection: Employer-paid short- and long-term disability coverage
• Generous time off: 20 days of PTO, 14 paid holidays, and Summer Fridays to support work-life balance

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level