Manager, Data Engineering

Skillable; United States; Remote; USD 140,000 - 185,000; Full time

Benefits offered by this job

Fully remote work

Monthly stipend for office services

Medical, dental, vision benefits

401(k) with company match

Unlimited PTO

Job summary

Skillable, a fully remote tech company, is seeking a Manager, DataEngineering to turn data architecture vision into scalable pipelines and products. Lead a team of at least five engineers, directing day-to-day data engineering execution and enforcing robust practices across ingestion, transformation, testing, deployment, and operations.

You will drive the Medallion architecture, partner with the Data Architect, and establish DataOps with modern SDLC processes, CI/CD, and reliable observability.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering, or relevant professional experience.
• 10+ years of professional software/data engineering experience with production data pipelines.
• 2+ years in a lead capacity including team leadership and delivery ownership.
• Deep hands-on experience with Databricks (Spark), Boomi/Rivery, and Delta Lake patterns.
• Strong ETL/ELT design and data orchestration across layered architectures.

Responsibilities

• Lead the Data Engineering team and translate architecture into executable plans and backlogs.
• Own day-to-day sprint execution, delegating tasks and ensuring high-quality delivery.
• Drive Medallion architecture (Bronze→Silver→Gold) with guardrails and repeatable patterns.
• Establish DataOps practices including CI/CD for data assets and operational runbooks.
• Improve pipeline observability, monitoring, and incident response across the data platform.
• Collaborate with Data Architect to realize reference pipelines and guardrails.
• Foster engineering culture, mentorship, and leadership development.

Skills

Databricks

Boomi/Rivery

Delta Lake

SQL Server

ETL/ELT design

DataOps

Mentoring

Cross-functional collaboration

Communication

Microsoft Teams

Education

Bachelor’s degree in Computer Science, Data Science, or Engineering

Tools

Boomi

Rivery

Azure Data Bricks

Delta tables

Job description

Skillable is a 100% remote and virtual tech company that’s modernizing the world of training. Come share your professional magic with highly talented, driven and fun colleagues who believe in the power of “skilling.” Experience what a team focused on doing the right thing feels like!

Our talented people are what makes us friendly and have fun! We work together to create amazing solutions and experiences for our customers and their clients. We utilize our employees’ personal strengths to help grow our company and ensure our team is living their best, authentic life. We share our appreciation for our team members regularly during all-hands, a workplace appreciation tool, regular shoutouts in our Teams channels, social media, amongst more. Our remote-first work environment blends work and life without the added pressure of commuting or feeling guilty about leaving early to visit the dentist.

Come work with us and learn what teamwork and integrity blended with an emphasis on well-being and balance can do for your career and lifestyle!

The Manager, DataEngineering, is responsible forturning data architecture vision into reliable, repeatable, and scalable data pipelines and data products as part ofSkillable’senterprise data platform.Manage a team of at least five employees and be hands-onin technical ownership of the data engineering function. Leadday-to-day engineering execution while setting strong data engineering practices across ingestion, transformation, testing, deployment, and operational support.

What You Will Do:

• Manage a team by hiring and onboarding talent, setting clear expectations, conducting formal performance reviews, and coaching accountability.
• Lead the team to deliver on the enterprise data platform roadmap by translating architecture direction into sequenced execution plans, team backlogs, and measurable outcomes.
• Create a strong engineering culture across the team by setting standards for maintainability, organization, and repeatability; growing engineers via regular 1:1s, timely feedback, development plans, and formal review cycles; and being responsible for overall team performance and cohesion.
• Own day-to-day execution for the Data Engineering team by breaking work into tasks, driving sprint-level planning, delegating effectively to grow ownership, unblocking delivery, and ensuring high-quality outcomes through engineering reviews and feedback.
• Drive implementation of the Medallion architecture (Bronze → Silver → Gold) with strong enforcement of layer responsibilities, ensuring repeatable and auditable pipeline behavior leveraging Boomi, Dbt, Azure Data Bricks, Boomi/Rivery, Delta tables, and Sql Server.
• Partner closely with the Data Architect to bring the architecture to life through concrete implementation patterns, reference pipelines, and guardrails—ensuring the team can consistently execute the intended approach.
• Reduce friction by driving crisp decisions and forward motion—using lightweight decision records, seeking the right input, and then executing accountability (while avoiding overly heavy process).
• Establish DataOps practices aligned with modern software development lifecycle (SDLC): CI/CD for data assets, consistent branching/release patterns, code review standards, and runbooks/operational readiness for pipelines.
• Improve pipeline observability and operational reliability by implementing monitoring for freshness/staleness, failure modes, and quality signals, and ensuring the team responds predictably to incidents and support requests.
• Drive stakeholder partnership and intake stream: collaborate with business partners to clarify requirements, reduce ad-hoc thrash, and shape requests into deliverable, well-scoped work that fits the platform strategy.
• Develop future leaders and succession plans for key roles through assigning regularly occurring responsibilities, mentoring, and strategic delegation.
• Support and promote the company values through positive interactions with both internal and external stakeholders on a regular basis.
• Other strategic business initiatives or special cross-functional project involvement as required.

What You Bring to the Role:

• Bachelor’s degree in Computer Science, Data Science, Engineering, or relevant professional experience.
• 10+ years of relevant professional experience in software / data engineering, including building production data pipelines and data platforms.
• 2+ years of experience in lead capacity (formal or informal) including team leadership, task breakdown, reviews, delivery ownership, and cross-functional coordination.
• Experience directly managing a team, including hiring/interviewing and conducting formal performance reviews.
• Deep hands-on experience with Databricks (Spark), Boomi/Rivery, and Delta Lake patterns for scalable lakehouse processing.
• Strong experience with ETL/ELT design and implementation, including orchestration/ingestion into transformation workflows across curated layers.
• Experience partnering with application and database teams to define efficient, non-disruptive data access patterns for upstream SQL Server systems (read replicas, CDC, snapshot isolation, batching strategies).
• Demonstrated expertise implementing Medallion architecture with clear separation of concerns across Bronze/Silver/Gold, including enforcing “no consumer reads from Bronze” style guardrails.
• Strong understanding of ingestion/source variability (APIs, CDC-enabled databases, file drops) and the ability to select appropriate ingestion strategies per source contract.
• Track record of improving team maturity from reactive delivery to repeatable engineering execution (standards, patterns, documentation, and predictable throughput). Interest and ability in mentoring and/or training other team members as applicable.
• Experience working cross-functionally and promoting collaborative partnerships to drive results.
• Proven ability to communicate effectively to various audiences/levels, both internal and external stakeholders, including leadership through various mediums.
• Ability to present and convey material both formally and informally to all levels of an organization.
• Proven organization skills with the ability to address short-term and long-term demands simultaneously.
• Easily adaptable with the ability to pivot with changing business needs, keeping a professional demeanor and leading by example for other colleagues.
• Demonstrated ability to prioritize and manage workload and meet project deadlines.
• High level of confidence, integrity, and professional courtesy.
• Strong Microsoft suite experience, including teams or similar web conferencing and internal communication software experience preferred.
• Naturally inquisitive with a desire to learn, solve problems, and dig into detailed analysis.
• Experience working in a fully remote team is preferred but not required.
• Thorough understanding (or willingness to learn expeditiously) of business operations and processes.

Salary Range

The base salary for this position is $140,000 - $185,000 annually.Consistent with applicable laws, compensation will bedeterminedbased on thecandidate'slevel, relevant skills,qualifications, and experience along with requirements for the positionand annualfinancialplans.

Skillable is a distributed first team with employees working acrossthe U.S., and we do not considergeographywhendeterminingcompensation ranges.

Pay range and current benefit offerings are effective for 90 days from posting date. Standard employment offerings are subject to potential change upon periodic review and analysis, at the discretion of Skillable.

What We Offer

We believe in providing a suite of benefits that ensure our employees know we appreciate them as people first. Skillable wants to be a company that promotes physical, emotional and all around well-being through our benefit offerings! Subject to eligibility requirements, the Company offers comprehensive benefits including:

• Fully remote with a monthly stipend to pay for office services and supplies
• Medical (2 plan options), dental (2 plan options), vision, health savings account with generous employer contributions, healthcare spending accounts, dependent care spending accounts, EAP, group paid life insurance, group paid STD and LTD and voluntary life/AD&D insurance, accident and critical illness options.
• 401(k) with company match, tuition reimbursement, healthy lifestyle reimbursements.
• Unlimited PTO, Paid holidays, bereavement leave, parental leave, caregiver leave and paid FMLA leave.
• Privilege of logging off at 2:00 pm local time, every Friday for team members who are caught up on work and meeting deliverables. Full company closure during the 4th of July holiday week.
• Reimbursement for up to $750 annually to use towards lifestyle choices that impact their wellness such as gym memberships, fitness classes or healthy meal plans,
• Stipend of $200 a month for office expenses.
• Access to pet insurance; access for employees and dependents to Skillable learning opportunities through our product and more!

Working Conditions:

The job conditions for this position are in a remote home office setting, requiring a space that supports privacy and focus to attend to regular and frequent video and voice calls. Employees in this position use PC and phone on an on-going basis throughout the day. Periodic travel may be required equaling up to approximately 10% of the time.

Skillable participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work int he U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment.

Skillable can only hire potential candidates with a primary residence in the following States: AZ, CA, CO, FL, GA, ID, IN, KY,MA,ME, MI, MO, NC, ND, NE, NH, NV, NY, OH, OK, SC, TN, TX, UT, WA, WI.