Data Engineering Manager, Regulatory Compliance

Penn Interactive

. Manage the day-to-day activities of the data engineering team, including goal setting, mentorship, AI-assisted SDLC, coaching, leadership, guidance, performance management, and feedback .

Posted 9/16/2026full-timeRemote • United StatesMid-LevelSenior💰 $165,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong leadership in data engineering, with expertise in managing teams, designing data pipelines, and ensuring compliance in regulated environments. Proficient in utilizing cloud platforms and data management tools to enhance data architecture and support analytics initiatives.

Highest-signal resume keywords

Data Engineering LeadershipProject ManagementSQLAWSAirflow

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Engineering ScienceSoftware/System DesignRelational DatabasesPythonDockerCloud PlatformsData ArchitectureData GovernanceMachine Learning ConceptsSystems Design Fundamentals

Soft Skills

Time ManagementProblem-SolvingTeam BuildingCommunication SkillsCollaboration

Tools & Technologies

AtlassianAgile ToolsAWS LambdasDbtKubernetesTerraformReactDjangoFlask

Industry Keywords

Regulated IndustryData PipelinesAnalytics InitiativesPerformance ManagementAudit Scrutiny

Tech Stack

Tools & technologies

AirflowAWSCloudDistributed SystemsDjangoDockerFlaskGoogle Cloud PlatformKubernetesPythonReactSDLCSQLTerraform

About the role

Key responsibilities & impact

Manage the day-to-day activities of the data engineering team, including goal setting, mentorship, AI-assisted SDLC, coaching, leadership, guidance, performance management, and feedback
Communicate professionally with state and provincial regulatory professionals and set clear expectations with regulators
Operate a high-responsibility workstream with strict deadlines and audit scrutiny
Collaborate with analytics, finance, compliance, and engineering teams to build data pipelines, infrastructure, and tooling supporting analytics initiatives
Prioritize and manage data-related projects cross-functionally from inception through delivery
Assist in designing and maintaining data pipelines and continually enhance data engineering architecture
Collaborate with the team to meet performance, scalability, and reliability goals
Stay current with trends, techniques, technology, and other factors affecting data engineering
Perform other duties as required

Requirements

What you’ll need

Strong foundation in data engineering science, computer science, distributed systems, and software/system design
Minimum 3 years in a data-oriented leadership or management role
At least 5 years of experience in software/data development
Experience leading teams of 3 engineers or more
Experience in a regulated industry strongly encouraged
Time management, project management, and problem-solving skills
Experience using Atlassian and other agile tools
Ability to communicate complex technical information to technical and non-technical stakeholders
Excellent presentation and communication skills
Ability to collaborate across all organizational levels
Ability to make and defend priority calls based on technical assessment and regulatory need
Team building and delegation skills
Experience with Airflow, dbt, AWS Lambdas, or similar data pipeline and workflow management tools
Strong knowledge of relational databases, SQL, Python, and Docker
Experience with cloud platforms such as GCP and AWS and related services
Systems design fundamentals and working knowledge of data architecture and governance
Nice to have: web experience with React, Django, or Flask; machine learning concepts; Kubernetes; Terraform

Benefits

Comp & perks

Competitive compensation package
Fun, relaxed work environment
Education and conference reimbursements
Opportunities for career progression and mentoring others
Best-in-class benefits with options and support for physical, financial, and emotional wellbeing
Bonus eligibility for most non-sales positions