Data Engineering Manager, Regulatory Compliance

Penn Interactive

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

Posted 9/16/2026full-timeRemote • CanadaMid-LevelSenior💰 CA$165,000 - CA$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 tools to enhance data architecture and project delivery.

Highest-signal resume keywords

Data Engineering LeadershipData Pipeline DevelopmentCloud Platform ExperienceRelational Database KnowledgeProject Management Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Engineering ScienceSoftware/System DesignSQLPythonDockerAirflowDBTAWSGCPData Architecture

Soft Skills

Time ManagementProblem-SolvingCommunication SkillsTeam BuildingCollaboration

Tools & Technologies

AtlassianAgile ToolsAWS LambdasKubernetesTerraform

Industry Keywords

Regulated IndustryData GovernancePerformance ManagementScalabilityReliability

Tech Stack

Tools & technologies

AirflowAWSCloudDistributed SystemsDjangoDockerFlaskGoogle Cloud PlatformKubernetesPythonReactSQLTerraform

About the role

Key responsibilities & impact

Manage the day-to-day activities of the data engineering team, including goal setting, mentorship, 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
Prioritize and manage cross-functional data projects from inception through delivery
Assist in designing and maintaining data pipelines and enhancing data engineering architecture
Collaborate with the team to meet performance, scalability, and reliability goals
Stay current with data engineering trends, techniques, technologies, and related factors
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 decisions based on technical assessment and regulatory need
Team building and delegation skills
Experience with Airflow, DBT, AWS Lambdas, or similar data pipeline and workflow 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
Interest in professional sports, betting, and/or eSports
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
Bonus eligibility for most non-sales positions
Best-in-class benefits with options and guidance supporting employees physically, financially, and emotionally