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# Data Engineer

- **Company:** Sightline Payments
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $140,000.0 - $160,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Microsoft Azure, Cloud Database, Code Review, Cyber Security, Databases, Data as a Services, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Systems, Data Warehousing, Disaster Recovery, Payment Systems, Microsoft SQL Server, MongoDB, NoSQL, Systems Development Life Cycle, Power BI, Software Engineering, Data Streaming, System Availability, Snowflake, Apache Spark, Microsoft Fabric, Data Lakes, Information Technology, Apache Flink, Data Pipelines
- **Published:** October 2, 2026
- **Apply:** https://www.builtincolorado.com/job/senior-data-engineer/10799127?handler=ApplyRedirect

## About the Role

* Bachelor's Degree in Computer Science/Engineering or equivalent experience in Database/Data Architect role or equivalent experience.
 * 5 years managing and mentoring data engineering teams or similar disciplines
 * 5 years recent practical experience implementing and supporting Microsoft SQL Server, Microsoft Fabric/PowerBI, Snowflake, MongoDb and data lake technology administration, ETL, high availability, deployments, and disaster recovery.
 * Extensive practical experience designing, developing and managing traditional and cloud databases, data lake, data warehouse and NoSQL solutions.
 * Demonstrated experience managing and participating in complex, cross-functional projects and driving technical innovation.
 * Ability to thrive as a member of a geographically distributed organization.
 * Excellent organizational and time management skills.
 * Strong ability to compile, research and analyze complex data.
 * Ability to convey complex topics to non-technical audiences verbally and in writing.
 * Experience working in Azure DevOps, supporting SDLC, CI/CD development and deployments.

## Description

Leads data engineering strategy, architecture, delivery, support, and lifecycle management for secure, scalable cloud and hosted data solutions. Collaborates with technical and business stakeholders to deliver complex datasets, establish enterprise data standards, manage data engineering teams, and oversee maintenance, change management, capacity planning, business continuity, disaster recovery, and regulatory security requirements. The role also evaluates third-party tools and supports Azure DevOps, SDLC, CI/CD, and technical innovation., * This M-F, full-time position is remote (work from home) and requires after-hours support when needed. Sightline Payments culture values respect, teamwork, and collaboration in achieving leading edge functionality balanced with high usability. This position will define, drive, and work with teams to execute on this vision.

What you'll do

 * Oversee data engineering, reporting, development and delivery of hosted and cloud-based solutions which are secure, performant and scalable.
 * Collaborate with developers, analysts, and stakeholders to prepare and deliver complex data sets that meet business needs.
 * Participate in Information Technology strategic, budgeting and project planning functions.
 * Defines standards, procedures, and methodologies to ensure the security, integrity, resiliency, scalability and performance of enterprise data resources.
 * Lead DE support, maintenance and change management activities including service levels, efficacy reviews and task/resource scheduling.
 * Evaluate and adopt third party tools, add-ons, and interfaces that strengthen our product suite or operational efficiency.
 * Stay abreast of evolving technology, standards and engineering practices that embrace security, quality and automation.
 * Participate in proactive assessments, lifecycle and capacity management/planning, business continuity and disaster recovery to maintain service levels.
 * Participate in maintaining system standards, information security, Incident Response and Disaster Recovery plans that adhere to regulatory requirements working within industry standards and the enterprise security posture., Lead data modeling and ownership of critical pipelines supporting Block's product data foundation. Build reliable, governed, and monitored datasets, data quality and lineage systems, experimentation infrastructure, and AI-assisted automation. Partner with product and engineering teams to translate business needs into end-to-end data solutions, participate in on-call support, and maintain pipeline SLAs., Build and optimize data models, pipelines, monitoring, lineage, and data quality systems supporting Block's product data foundation. Own critical data engineering solutions across their full lifecycle, ensure pipeline reliability through on-call support, and translate business and product needs into automated data solutions. Develop AI-assisted workflows and agents for data quality, issue resolution, and operational efficiency while partnering with engineering, product, data science, and machine learning teams.