Be responsible for designing, developing, and maintaining large-scale data systems that support advanced analytics and business intelligence initiatives across Mitek.
This role involves building sustainable and scalable data pipelines, processes, and platforms that enable efficient collection, transformation, and analysis of data throughout the organization.
You’ll have a huge impact on how our business operates through building infrastructure to answer questions with data, using software engineering best practices, data management fundamentals, and recent advances in distributed systems (i.e. MapReduce, noSQL databases).
You will work closely with Product Management, Data Analytics, Software Development, and business stakeholders to deliver reliable, high-performing data feeds, enterprise-level reports, and data solutions that support both strategic business decisions and offline machine use cases.

Requirements

Bachelor's degree in mathematics, Statistics, Computer Science or related field.
5+ years of experience as a data engineer, software engineer or in a similar role.
Experience in designing and implementing scalable data architecture, including building data pipelines for stream and batch processing.
Experience with data modeling, data warehouses, and data lakehouses.
Experience with AWS including big data technologies (AWS Glue, Kinesis, Lambda).
Experience building ELT pipelines with dbt and Snowflake.
Hands-on experience and advanced knowledge of SQL ( i.e. Postgres, Snowflake).
Intermediate to advanced Python software development skills.
Knowledge of the Software Development Lifecycle.
Experience working with data orchestration tools (Airflow).
Experience with infrastructure-as-code (Terraform).
Experience with open table formats and data catalogs.
Experience with analytics tools (Tableau, PowerBI).

Benefits

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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringdata architecturedata pipelinesdata modelingdata warehousesdata lakehousesSQLPythonELT pipelinesbig data technologies