Build models and queries to transform data into standardized formats that power our business analytics.
Maintain and develop Alma’s data pipeline architecture.
Proactively identify, diagnose, and resolve data quality, reliability, and performance issues across the data lifecycle.
Collaborate with stakeholders to define requirements and implement robust processes for ingesting data from diverse internal and external sources.
Implement data governance best practices and ensure compliance with data policies.
Work with the data team and cross-team stakeholders to evaluate the priorities and needs of the company.

Requirements

You have 3+ years of progressive experience in data engineering or analytics engineering, with a strong emphasis on building and optimizing data pipelines and data warehouses.
You possess advanced SQL skills, with proven experience in writing complex, performant queries and optimizing them in a data warehouse environment like Redshift.
You have a strong understanding of data warehousing and business intelligence tools.
Experience with dbt is highly desirable; familiarity with BI tools (e.g., Looker, Metabase) is a plus.
You enjoy exploring data sets and have technical expertise in data transformation and data modeling.
You have some experience with Python.
You feel a passion for Alma's mission – to improve the experience of therapy for providers and their clients and simplify access to care.

Benefits

We’re a remote-first company
Health insurance plans through Aetna (medical and dental) and MetLife (vision), including FSA and HSA plans
401K plan (ADP)
Lifestyle Spending Account for health, wellness, and family care
Monthly co-working space membership stipend
Monthly work-from-home stipend
Financial wellness benefits through Northstar
Pet discount program through United Pet Care
Financial perks and rewards through PerkSpot
EAP access through Aetna
One-time home office stipend to set up your home office
Inclusive family and medical leave plans
12 paid holidays and 1 Alma Give Back Day
Flexible PTO

Applicant Tracking System Keywords

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

Hard Skills & Tools

data engineeringanalytics engineeringdata pipeline architecturedata qualitydata reliabilitydata performanceSQLdata warehousingdata transformationdata modeling

Soft Skills

collaborationproblem-solvingcommunicationstakeholder engagement