Data Engineering Supervisor (100% Remote)

About this role

Since our founding in 2011, our mission has been to improve the lives of seniors and their caregivers. We are deeply passionate about communication and committed to becoming the foremost provider of services and solutions that enable seniors to lead more meaningful and independent lives. We also understand the power of connection and the profound impact it has on the lives of individuals who are hard-of-hearing. By utilizing enhanced automatic speech recognition, human captioning, and innovative product development, we deliver easy-to-use, cutting-edge technology to our primarily senior customer base. Our near real-time phone captioning technology allows individuals with hearing loss to see what callers are saying, enabling them to regain their connection to the world. ClearCaptions is a Federal Communications Commission (FCC)-certified telephone captioning provider, adhering to the highest industry standards of privacy, security, and professionalism. We recognize the importance of maintaining the trust and confidence of our customers, and we continually strive to exceed their expectations. For more information about our services please visit clearcaptions.com. The kind of people we look for:

Versatile people who thrive on variety and challenge

Excited about working in a fast-paced environment.

Innate problem solvers who want to grow in a flexible, collaborative culture.

Takes initiative, pushes boundaries, motivated to innovate.

Individuals with a growth mindset who want to use their learning and relationship-building skills.

Align with our company core values: Integrity, Accountability, Collaboration, Service and Quality.

Summary: The Data Engineering Supervisor is responsible for leading and growing the Data Engineering team. This role serves as a people leader and technical authority within the Data Engineering organization, responsible for guiding a team of Data Engineers in the design, implementation, and optimization of enterprise-scale data solutions built on Microsoft Fabric. The Data Engineering Supervisor establishes and enforces engineering standards, drives consistency across the data platform, and ensures the team delivers reliable, scalable, and secure data solutions that support operational reporting, advanced analytics, machine learning, and enterprise decision-making. In addition to leadership responsibilities, this role maintains hands-on technical involvement, collaborating with business stakeholders, analytics teams, architects, and senior leadership to align platform strategy with organizational goals. What This Role Does:

Leads, mentors, and develops a team of Data Engineers through regular 1:1s, performance feedback, code reviews, design reviews, and ongoing coaching to build individual and team capability.

Sets and enforces data engineering standards, development frameworks, reusable patterns, and operational best practices to ensure consistency, quality, and scalability across the data platform.

Owns team capacity planning, workload prioritization, and delivery execution across active engineering initiatives.

Collaborates with cross-functional teams, including analytics, architecture, and business stakeholders to understand requirements and translates them into effective Microsoft Fabric–based data solutions.

Serves as the escalation point and technical decision-maker for complex engineering challenges, production incidents, and architectural decisions.

Leads root cause analysis and resolution efforts for critical production issues impacting enterprise data pipelines, reporting solutions, and platform operations.

Reviews and approves solution designs, architecture decisions, and implementation approaches to ensure alignment with enterprise standards.

Designs, develops, and maintains end-to-end data ingestion and transformation processes using Microsoft Fabric OneLake, Lakehouses, Data Pipelines, Dataflows Gen2, and Notebooks.

Formats, cleanses, and stores data in a structured manner following Medallion Architecture to ensure data quality and accessibility for reporting and analysis.

Works closely with reporting and analytics teams to ensure datasets are accurate, well-modeled, and optimized for Power BI and other analytical workloads.

Participates in data governance activities to ensure data integrity, security, and compliance.

Evaluates emerging technologies, industry trends, and architectural patterns and provides recommendations for adoption to senior leadership.

Manages and optimizes Microsoft Fabric platform performance, including capacity utilization, query performance, Delta table maintenance, data partitioning, and pipeline execution.

Develops and maintains monitoring, alerting, and observability solutions for Microsoft Fabric pipelines, Lakehouses, Warehouses, semantic models, and related components.

Provides ancillary support for Machine Learning (ML) and Artificial Intelligence (AI) processes.

Creates comprehensive documentation for data pipelines, engineering standards, and platform architecture.

Takes an active approach to talent management by overseeing onboarding, recruitment, succession planning, and employee development to build and sustain a diverse, highly engaged, and skilled Data Engineering team.

Performs other duties as assigned.

What You Will Bring:

Bachelor's degree in computer science, information technology, or a related field. Equivalent combinations of education and relevant experience will be considered.

A minimum of 10 years of combined experience in data engineering and/or software engineering.

A minimum of three (3) years of demonstrated experience leading, supervising, or managing a team of engineers, including performance management, mentorship, and career development.

Proven ability to set engineering standards, governance processes, and development frameworks across a data engineering organization.

Strong hands-on experience with Microsoft Fabric, including OneLake, Lakehouses, Data Pipelines,…