Socure

Analytics Engineer

Socure

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Salary

💰 $100,000 - $125,000 per year

Job Level

Mid-LevelSenior

Tech Stack

Amazon RedshiftAWSPythonSparkSQL

About the role

  • Own and enhance BI infrastructure
  • Administer 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.
  • Bridge the gap between Data Engineering and BI
  • 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.
  • Deliver data experiences to end users
  • 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.
  • Support and guide BI initiatives
  • 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.

Requirements

  • 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.
Benefits
  • Offers Equity
  • Offers Bonus

Applicant Tracking System Keywords

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

Hard skills
SnowflakeSQLPythonSparkdbtdata modelingCI/CDdata processingdata transformationsdata governance
Soft skills
communicationstakeholder managementcollaborationproblem-solvingleadership