Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.
We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading.
We are looking for an experienced Analytics Engineer to own and evolve the BI team’s technical infrastructure (Snowflake, dbt, GitLab CI/CD, scheduling frameworks, and ingestion tooling) while ensuring all BI systems and workflows remain fully aligned with the broader Data Engineering architecture and design principles. This role is responsible for keeping the BI environment scalable, maintainable, and consistent with the company’s overall data platform strategy.
You will collaborate closely with Data Engineering, who manage the source-to-mesh pipelines, and build everything needed to deliver clean, reliable, analytics-ready data into the BI workspace. This includes developing curated data layers, ensuring pipeline reliability, maintaining governance standards, and enabling efficient downstream analytics across dashboards, reporting, and domain models.
Why “Analytics” Engineer?This role is intentionally scoped as an Analytics Engineer, not just a data or platform engineer because success requires:
Understanding analytics use cases, business metrics, and performance KPIs
Designing data models that correctly support those metrics and semantic definitions
Working closely with business stakeholders to gather context and ensure data structures reflect real-world logicBalancing technical efficiency with analytical usability, building data assets that analysts and business teams can reliably use for decision-making
You will serve as the bridge between technical data systems and the analytical needs of the business.
ResponsibilitiesOwn and enhance BI infrastructureAdminister and optimize our Snowflake data warehouse (roles, performance, cost control, governance).
Maintain and scale dbt projects including core models, tests, documentation, semantic modeling, and deployments.
Manage GitLab pipelines/runners to support robust CI/CD for BI assets.
Oversee job scheduling and orchestration for BI transformations and data flows.
Own ingestion pipelines relevant to BI data needs.
Collaborate with Data Engineering to understand upstream mesh data products with BI analysts to understand business logic, metrics definitions, and performance targets.
Extend mesh data into curated BI data layers optimized for analytics.
Design data structures that support accurate, scalable analytics (fact tables, dimensions, semantic layers).
Participate in architectural decisions to align upstream pipelines with downstream analytical requirements.
Build custom solutions (APIs, extracts, materialized datasets, governed marts) to deliver data in the right format for each use case.
Implement robust testing, monitoring, and reliability processes for BI pipelines.
Ensure fast, reliable data availability for business stakeholders.
Partner with BI Analysts to maintain a reliable modeling environment and help unblock analytical workflows.
Recommend the most effective data modeling approaches and development processes, considering business priorities and resource limits.
Participate in tooling evaluations and decisions, ensuring solutions fit BI use cases and organizational architecture.
Provide clarity in ambiguous situations and advise leadership on risks, dependencies, and sequencing of work.
3-5+ years as an Analytics Engineer, Data Engineer, or similar role with a strong analytics orientation.
Strong proficiency with Snowflake and familiarity with AWS analytics services (Redshift, Athena, S3, SageMaker, etc.).
Expertise in SQL, Python, and Spark for data processing, automation, and custom integrations.
Experience with dbt and modern data modeling best practices.
Hands-on experience with Git-based CI/CD workflows (GitLab preferred).
Familiarity with ingestion tools such as Fivetran.
Proven ability to translate business requirements and metric definitions into robust, scalable data models.
Strong communication and stakeholder management skills.
Experience supporting BI or analytics teams directly.
Knowledge of semantic layers, metrics stores, or analytics engineering frameworks.
Python experience for automation, orchestration, or custom integrations.
Familiarity with data mesh principles and domain-oriented data products.
Experience optimizing cross-cloud data architecture or hybrid environments.
Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly.
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Top Skills
What We Do
Socure is the leading platform for digital identity trust. Its predictive analytics platform applies artificial intelligence and machine learning techniques with trusted online/offline data intelligence from email, phone, address, IP, device, velocity, and the broader internet to verify identities in real time. The company has more than 750 customers across the financial services, gaming, telecom, and e-commerce industries, including three of the top five banks, seven of the top 10 card issuers, three of the top MSBs, the top payroll provider, the top credit bureau, and over 100 of the largest and most successful FinTechs. Marquee customers include Chime, Varo Money, Public, Stash, and DraftKings.
Socure has received numerous industry awards and accolades, including being named to Forbes America’s Best Startup Employers 2021, being awarded Best New Technology Introduced over the Last 12 Months – Data and Data Services at the 2020 American Financial Technology Awards (AFTAs), being ranked number 70 in Deloitte’s Technology Fast 500™, being listed as a Gartner Cool Vendor, being recognized by Forbes as one of the Top 25 Machine Learning Startups to Watch, being named to CB Insights: The FinTech 250, and being awarded Finovate’s Award for Best Use of AI/ML, to name a few.
Why Work With Us
Socure is a critical part of the infrastructure of the digital economy and what we do is critical to ensure the safety of anyone doing any sort of business on the internet. Because of our technology digital identity theft will be eradicated and more people will be included in the digital economy than ever before.
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