We are seeking a Data Engineer II to lead data pipeline development, collaborate with stakeholders, and mentor team members. This role requires advanced technical skills and strong communication for enterprise-wide data initiatives.
Who We Are; What We Do; Where We’re Going
Magnet Forensics is a global leader in the development of digital investigative software that acquires, analyzes, and shares evidence from computers, smartphones, tablets, and IoT-related devices. We are continually innovating so our customers can deploy advanced and effective tools to protect their companies, communities, and countries.
Serving thousands of customers globally, our solutions are playing a crucial role in modernizing digital investigations, helping investigators fight crime, protect assets, and guard national security.
With employees based around the world, Magnet Forensics has been expanding our global presence. As a part of Magnet Forensics, you can expect to make a difference in the world, no matter what role you play. You’ll be supported through learning and development, not to mention an incredible team with unbelievable talent and integrity.
If you think you would be the right person to join our team working towards this goal, we would love to hear from you!
About the Role
We are seeking a highly skilled and business-savvy Data Engineer II to join our Data & Analytics Team. This leadership-oriented role blends deep technical expertise with strategic business engagement, supporting enterprise-wide data initiatives and enabling scalable, self-service analytics. The ideal candidate will be a proactive problem solver, capable of architecting robust data solutions, mentoring team members, and driving innovation across the data ecosystem.
You will partner closely with business stakeholders, analysts, and leaders to design and deliver trusted, accessible data products that empower decision-making and operational excellence.
Key Responsibilities
- Lead the design, development, and optimization of scalable data pipelines and ETL frameworks to support advanced analytics and reporting.
- Act as a strategic liaison between business units and the Data & Analytics Center of Excellence, translating complex business needs into technical solutions.
- Architect and implement enterprise-grade data models and dashboards using tools like Power BI, Looker, or Tableau.
- Champion data literacy and foster a culture of self-service analytics across the organization.
- Establish and enforce best practices for data quality, integrity, and governance across platforms.
- Collaborate with cross-functional teams to support strategic initiatives and deliver high-impact data solutions.
- Drive discussions on data architecture, modeling, and platform scalability to support long-term analytics capabilities.
- Mentor data engineers and contribute to team development and knowledge sharing.
- Delegate work among the team and help manage projects and work as needed.
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
- 7+ years of experience in data engineering, with a proven track record of leading complex data projects.
- Advanced SQL skills and hands-on experience with modern data pipeline tools (e.g., Azure Data Factory, dbt, dbt Cloud, Apache Airflow).
- Expertise in at least one BI platform (Power BI, Looker, Tableau), including dashboard development and semantic modeling.
- Strong experience with cloud data platforms (Azure, AWS, or GCP).
- Exceptional communication and stakeholder engagement skills, with the ability to influence and lead cross-functional initiatives.
- Demonstrated ability to thrive in a fast-paced, collaborative environment.
- Ability to work both autonomously and in a team environment.
- Strong documentation skills.
Preferred Qualifications
- Proficiency in Python or other scripting languages for data manipulation and automation.
- Familiarity with CI/CD practices and DevOps principles in data engineering.
- Deep understanding of data governance, security, and compliance frameworks.
- Experience working in a Center of Excellence or leading enterprise-wide data transformation efforts.
Why Join Us?
- Play a pivotal role in shaping the future of data infrastructure and analytics capabilities.
- Lead strategic initiatives within a high-impact Center of Excellence.
- Collaborate with diverse teams to solve real business challenges and drive innovation.
The Most Important Thing
- We’re looking for candidates that can provide examples of how they demonstrated Magnet CODE in their previous experiences.
- CARE -We care about each other and our mission to make a difference in the world.
- OWN -We are accountable for or results – while never forgetting to act with integrity, empathy, and respect.
- DEDICATE -We put our heart and soul into meeting the needs of our customers and helping them serve the people they protect.
- EVOLVE -We are constantly innovating and exploring new ways to work together to make an impact with our work.
Compensation & Benefits
- The Compensation Range is for the primary location for which the job is posted. Please note that the actual compensation may vary depending on location and job-related factors such as qualifications, experience, knowledge and skills. If you are applying for this role outside of the primary location and you are selected for an interview, the Talent Acquisition Partner can share more information with you. If the compensation structure for the role includes an incentive component (ie. most Sales roles) the range below represents total target compensation (TTC) (base salary + variable).
- Compensation Range:
- MIN: $76,300 - MID: $109,000 - MAX: $130,800 Currency: CAD
- MIN: $91,000 - MID: $130,000 - MAX: $156,000 Currency: USD
- Magnet is proud to offer benefits such as:
- Generous time off policies
- Competitive compensation
- Volunteer opportunities
- Reward and recognition programs
- Employee committees & resource groups
- Healthcare and retirement benefits
Here at Magnet Forensics, we are committed to continuous learning and are focused on building a diverse and inclusive workforce. This commitment will be reflected in our hiring processes and embedded in our values and how we treat one another. If you’re interested in this role, but do not meet all of the qualifications listed above, we encourage you to apply anyways.
Magnet Forensics is an Equal Opportunity Employer and considers applicants for employment without regard to race, colour, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, provincial, or local law. We are committed to providing an inclusive, accessible recruitment process and work environment. Accommodation is available to all applicants upon request throughout the hiring process. Please contact [email protected] should you require any accommodations.
All offers of employment at Magnet are contingent upon satisfactory completion of a background check. All background checks will be conducted in accordance with all applicable laws. Magnet will consider each position’s job duties, among other factors, in determining what constitutes satisfactory completion of the background check. Refusal to consent to a background check may be grounds for revoking an offer of employment.
US Applicants: Magnet Forensics participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
Top Skills
Apache Airflow
AWS
Azure
Azure Data Factory
Dbt
Dbt Cloud
GCP
Looker
Power BI
Python
SQL
Tableau
Similar Jobs
Blockchain • Fintech • Payments • Financial Services • Cryptocurrency • Web3
As a Data Engineer at Circle, you'll build and maintain data warehouses and pipelines for blockchain analytics, ensuring data accuracy and improving operational performance.
Top Skills:
AirflowAWSAzureBigQueryDagsterDatabricksDbtGCPJavaPythonScalaSnowflakeSQL
Blockchain • Fintech • Payments • Financial Services • Cryptocurrency • Web3
The Data Engineer will manage data warehouses and pipelines for blockchain analytics, ensuring data accuracy for product development and reporting. Collaboration with data teams is vital for operational excellence.
Top Skills:
AirflowAWSAzureBigQueryDagsterDatabricksDbtGCPJavaPythonScalaSnowflakeSQL
.jpg)
Marketing Tech • Mobile • Software
As a Data Engineer II at Braze, you'll develop and maintain data pipelines, work with stakeholders to understand requirements, and ensure data quality and reliability.
Top Skills:
AirflowDbtJavaKubernetesPythonSnowflakeSQL
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus
