Mitek (NASDAQ: MITK) is a global leader in digital & biometric identity authentication, fraud prevention, and mobile deposit solutions. Our verified identity platform and advanced image capture solutions are built on the latest advancements in biometric recognition, artificial intelligence, computer vision and machine learning, and trusted by over 7,500 organizations worldwide. We are headquartered in San Diego, California, with operations in the United Kingdom, Spain, France, Mexico, and the Netherlands. Visit us at www.miteksystems.com.

At Mitek, we believe that teams are stronger and more innovative when they have the range of opinions and perspectives that come from diversity. Very simply, we know that diversity is a foundational strength for our organization. A diverse workforce makes for stronger teams as a wider breadth of thinking and experience broadens the power of our collective mind. Building stronger teams is foundational to serving our customers comprehensively, innovating our products and solutions, and enabling more impactful decision-making across our business.

We are Virtual 1st! Whether you choose to work remotely from your home office or in-person from one of Mitek’s offices, our practices, processes and tools are designed to enable your success. At Mitek, the Future of Work is about flexibility and preference wherever and whenever we are working.

We are looking for a Senior Data Engineer to design and build scalable data systems that support advanced analytics and business intelligence.

In this role, you will develop and maintain data pipelines, implement data management best practices, and work closely with Product Managers, Data Analysts, and Software Developers to support data-driven decision-making.

At Mitek we deliver a large scale, globally distributed cloud platform that relies on large quantities of structured, semi-structured and unstructured data to deliver new capabilities and derive insights that drive all aspects of our platform delivery.

If you have experience with AWS Big Data services, Snowflake, dbt, Python, and distributed systems, and thrive in an innovative, fast-paced environment, we’d love to hear from you!

What You Will Do

Build scalable data systems that drive analytics and business insights.

Develop ETL/ELT pipelines for batch and streaming data using dbt and Snowflake.

Design and implement data architectures to support large-scale distributed data processing.

Work with AWS services such as EMR, Redshift, DynamoDB, Glue, Kinesis, and Lambda for serverless workflows.

Develop data models and warehouses to improve data accessibility and efficiency.

Optimize and maintain SQL databases (PostgreSQL, Snowflake).

Utilize Python and PySpark for data transformation and processing.

Ensure data integrity, governance, and compliance with best practices.

Collaborate with stakeholders to deliver reliable enterprise-level data feeds and reports.

Leverage orchestration tools to automate and schedule workflows efficiently.

What You Bring (minimum qualifications, skills and experience)

5-8 years of experience as a Data Engineer, Software Engineer, or similar role.

Bachelor’s degree in Mathematics, Statistics, Computer Science, or related field.

Strong knowledge of data modeling, ETL/ELT processes, and data warehousing.

Hands-on experience with AWS Big Data technologies (EMR, Redshift, Glue, Kinesis, DynamoDB, Lambda).

Strong understanding of serverless architectures in AWS.

Experience with Snowflake and dbt for building data pipelines.

Advanced SQL skills (PostgreSQL, Snowflake).

Strong Python and PySpark programming expertise.

Sound Knowledge of distributed systems, data management fundamentals, and orchestration tools.

Experience with BI tools such as Tableau, Power BI, QuickSight.

Nice To Have (desired skills and experience)

Experience designing and implementing data orchestration tools.

Proven track record of working with large-scale, real-time data processing.

Experience with machine learning data pipelines is a plus.

Soft Skills and Attributes

Detail-oriented and customer-obsessed.

Strong analytical and problem-solving skills.

Proactive, self-motivated, and adaptable in a fast-paced environment.

Excellent communication skills to convey technical concepts effectively.

Collaborative team player with the ability to work independently.

What We Offer You

Highly competitive salary and comprehensive benefits package.

Remote Work with the possibility to work from our office in San Diego, CA.

Be part of a Nasdaq-listed, high-growth company with cutting-edge technology that provides Digital Safety and Fraud Prevention to many companies with millions of users worldwide.

Collaborate with a supportive, experienced Data Engineering team and other departments on the Deposits Business.

Ongoing learning opportunities to level up your knowledge and take your career further.

We take pride in enabling career growth in an environment of innovation and teamwork. Our commitment to all Mitekians is to do meaningful work that matters. Our culture is defined by delivering our best to our customers by providing high value solutions and impactful outcomes, by continuously challenging convention, and by caring for each other through collaboration and celebrating our successes. We are committed to creating competitive, equitable compensation & benefits programs and career development opportunities.

Benefit offerings – may vary based on geographic location

Wellness: Universal, supplemental, and private healthcare plan choices based on country specifics

Financial future: retirement/pension plan contributions, MTK stock plan participation

Income protection: life event & disability coverage

Paid time off: generous annual leave, company holidays, volunteer time off

Learning: e-learning license, tuition reimbursement, hackathons

Home office setup allowance

Additional/optional benefits: pet insurance, identity theft protection, legal assistance

We sincerely appreciate your interest in Mitek. We know your time is valuable and look forward to the potential of speaking with you further!

Sr. Data Engineer

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