Senior Data Engineer (Remote) - Scalable Pipelines

Jobgether SRL; United States; Remote; USD 118,000 - 162,000; Full time

Benefits offered by this job

Remote work nationwide

Health benefits

Generous PTO

401(k)

Job summary

Jobgether SRL seeks a Senior Data Engineer in the United States to design, build, and optimize scalable data pipelines and workflows for large-scale ingestion, transformation, storage, and analysis. This remote, full-time role emphasizes reliable data capabilities and collaboration with product, analytics, and SRE teams.

You will work on cloud-native engineering, big data, and ML-enabled solutions while focusing on performance, cost efficiency, and iterative problem solving in a data-driven

Qualifications

• Bachelor’s degree in science, engineering, computer science, or a related discipline, or equivalent practical experience.
• 8+ years of overall experience in data engineering or a closely related field.
• Strong proficiency in SQL, Databricks, Python, Apache Spark, Git, and Azure services, including Azure Synapse and Azure Data Lake Storage Gen2.
• Strong understanding of relational database principles, data modeling, database management, and data warehousing.
• Strong knowledge of Big Data querying and processing tools.
• Demonstrated experience optimizing large-scale data pipelines and ETL workflows.
• Experience with cloud migrations and legacy modernization is preferred.
• Experience with Snowflake is a plus.
• Healthcare industry experience and knowledge of designing systems that protect sensitive PHI and PII are preferred.

Responsibilities

• Design, develop, maintain, and optimize scalable data pipelines and workflows using Azure Databricks and related cloud technologies.
• Build ETL/ELT pipelines that integrate data from multiple internal and external sources while maintaining strong standards for data quality, reliability, and performance.
• Develop and maintain SAS programs and SSIS packages supporting intermediate and downstream data processing.
• Write, optimize, and maintain complex SQL queries for data transformation, processing, reporting, and analytical use cases.
• Implement and support Big Data tools and frameworks for large-scale data processing and integration.
• Monitor data workflows, troubleshoot complex processing issues, perform root‑cause analysis, and implement preventative solutions.
• Optimize pipelines and data workflows for scalability, reliability, performance, and cost efficiency.
• Evaluate and recommend infrastructure and technology improvements as data volumes and processing requirements evolve.
• Partner with product management and SRE teams to understand requirements and translate them into actionable engineering solutions.
• Collaborate with software engineers, analysts, stakeholders, and cross-functional partners to align data strategy, architecture, and delivery outcomes.
• Apply sound engineering practices and design patterns to support maintainable, scalable data and software solutions.
• Contribute to solutions involving big data, artificial intelligence, and machine learning that help transform complex information into actionable insights.

Job description

Jobgether SRL seeks a Senior Data Engineer in the United States to design, build, and optimize scalable data pipelines and workflows for large-scale ingestion, transformation, storage, and analysis. This remote, full-time role emphasizes reliable data capabilities and collaboration with product, analytics, and SRE teams.

You will work on cloud-native engineering, big data, and ML-enabled solutions while focusing on performance, cost efficiency, and iterative problem solving in a data-driven