Senior Data Engineer

Job Description

Job Description

Company Description

At Blend360, we help organizations transform complex data into actionable insights through modern cloud platforms, advanced analytics, and AI-driven solutions. We partner with leading enterprises across healthcare, telecommunications, financial services, and retail to build scalable, high-impact data ecosystems that drive smarter business decisions. 

Job Description

We are seeking a Senior Data Engineer to support a large-scale healthcare data platform initiative focused on modernizing data ingestion, pipeline automation, and semantic layer capabilities within Google Cloud Platform (GCP). This role will play a key part in designing and delivering scalable, reliable, and business-ready data solutions that support enterprise analytics, operational reporting, and data-driven decision-making. 

The ideal candidate brings strong hands-on engineering expertise, deep experience with cloud-native data platforms, and a passion for building modern, scalable data architectures in complex enterprise healthcare environments. 

What You’ll Do 

• Design, develop, and optimize scalable data pipelines supporting enterprise healthcare analytics and reporting initiatives  

• Build and automate ingestion frameworks for structured and semi-structured healthcare data sources  

• Develop and expand semantic data layers in GCP and BigQuery to support trusted, consistent analytics consumption across business teams  

• Design and implement scalable ELT/ETL workflows using modern cloud-native architecture patterns  

• Automate orchestration, monitoring, and operational processes across the data platform  

• Partner with architects, analytics teams, and business stakeholders to translate requirements into scalable technical solutions  

• Optimize BigQuery performance, partitioning, and query efficiency to improve scalability and cost management  

• Implement engineering best practices for testing, observability, reliability, deployment automation, and operational support  

• Contribute to data governance, metadata management, and data quality initiatives across the platform  

• Mentor junior engineers and contribute to a collaborative, high-performing engineering culture  

Qualifications

• Strong expertise in Google Cloud Platform (GCP), including:  

  • BigQuery

  • Cloud Storage

  • Cloud Composer or orchestration tooling  

  • Dataflow or modern ingestion frameworks  

• Experience designing and building scalable data ingestion and pipeline automation solutions  

• Strong understanding of semantic layer development and dimensional modeling concepts  

• Advanced SQL and Python development skills  

• Experience with ELT/ETL pipeline design, orchestration, and optimization  

• Familiarity with CI/CD pipelines, infrastructure automation, and cloud engineering best practices  

• Strong understanding of data quality, observability, and operational reliability principles  

Preferred Experience 

• Experience working within healthcare data ecosystems and regulated enterprise environments  

• Familiarity with healthcare analytics platforms, payer/provider data models, or healthcare interoperability standards  

• Experience supporting enterprise BI and analytics initiatives  

• Exposure to dbt, Looker, or semantic modeling frameworks is a plus  

Required Experience 

• 5+ years of experience in data engineering or cloud data platform development  

• Proven experience delivering enterprise-scale cloud data solutions within GCP environments  

• Experience contributing to large-scale data modernization or analytics transformation initiatives  

• Consulting or client-facing delivery experience strongly preferred  

What Makes You Successful 

• You are passionate about building scalable, maintainable, and high-performing cloud-native data solutions  

• You thrive in collaborative, fast-paced delivery environments  

• You balance strong technical execution with effective communication and stakeholder collaboration  

• You bring a mindset of ownership, curiosity, and continuous improvement to your work  

• You enjoy solving complex data challenges and driving measurable business impact through technology 

 

Additional Information

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The starting pay range for this role is $115k - $125k. Actual compensation within the range will be dependent on several factors including but not limited to relevant experience, skills, certifications, training, and location. It is not typical for an individual to be hired at or near the top of the range and determining factors for compensation are considered for each individual circumstance. BLEND360 also offers a competitive benefits program to meet the health and financial well-being of our team and their families. You can look forward to a range of benefits including medical, dental, vision, 401K, PTO, paid holidays, commuter benefits, spending accounts, life insurance, disability coverage, and EAPs.