Analytics Engineer at Civitech – Remote Data Engineering Job
Civitech advertised an Analytics Engineer position for a data professional experienced in SQL, dbt, Python, and modern data warehousing. The role focused on transforming raw data into accurate, well-structured datasets that support dashboards, data pipelines, analytics, and civic technology products.
This opportunity was designed for an experienced data professional who enjoys building trustworthy data models, improving data quality, documenting technical systems, and collaborating with engineers, analysts, and product teams.
Important Vacancy Status Notice
This vacancy is marked as closed on Remote OK. The original advertisement described a temporary position expected to run through November 15, 2026.
Applications should not be assumed to be open. Visit Civitech's official careers page to check for new or similar vacancies before applying.
Job Overview
Job Title: Analytics Engineer
Company: Civitech
Industry: Data Analytics, Software, and Civic Technology
Employment Type: Temporary, fixed-term role
Work Arrangement: Remote within specified US states
Advertised Salary: $85,000–$95,000 per year
Contract End Date: Expected November 15, 2026
Benefits: The original listing stated that the temporary role was not eligible for benefits.
Application Deadline: No confirmed deadline published
Current Status: Closed on Remote OK
Official Careers Page: Civitech Careers
About Civitech
Civitech is a public benefit corporation that develops technology and data products intended to support civic participation and progressive political causes in the United States.
The company works with nonprofit organizations, political committees, campaigns, and other partners that use technology to reach voters, understand communities, and improve civic engagement.
Its work involves handling complex datasets, developing software products, and creating tools that help partner organizations make better use of information. Reliable data is particularly important in this environment because the quality of underlying datasets can directly affect reporting, analysis, and operational decisions.
For an analytics engineering professional, Civitech offers a mission-driven technology environment where data modeling, documentation, and quality assurance are important parts of the work.
About the Analytics Engineer Role
The Analytics Engineer was expected to transform raw voter, geographic, district, and product data into clean, trustworthy datasets that could be used across the organisation.
Rather than relying on one-off SQL queries, the role focused on creating reusable and well-documented data models. These models would help power dashboards, pipelines, internal reporting, and the data products used by Civitech and its partners.
The position required someone comfortable working with imperfect data and unclear requirements. The successful candidate would need to move quickly while maintaining good engineering practices, ensuring that datasets remained accurate, understandable, and dependable.
Key Responsibilities
- Build data models: Develop and maintain dbt models that transform raw data from multiple sources into structured, reusable datasets.
- Maintain data quality: Write tests, define quality expectations, investigate anomalies, and resolve problems affecting critical datasets.
- Collaborate across teams: Work with data scientists, software engineers, analysts, and product teams to translate business questions into dependable data models.
- Document technical systems: Maintain clear documentation covering models, metrics, data lineage, and important transformation logic.
- Use Python: Apply Python for scripting, automation, data processing, and tasks that are better handled outside dbt.
- Improve engineering practices: Contribute to code reviews, naming conventions, project organisation, testing, and continuous integration for data projects.
- Support analytics products: Ensure that dashboards and other data-driven tools use reliable, well-maintained datasets.
- Investigate data issues: Diagnose unexpected results, identify the source of problems, and implement sustainable solutions.
- Improve collaboration: Help colleagues and partner organisations understand and use data confidently through better documentation and self-service access.
- Support wider engineering needs: Take on related data and engineering responsibilities as required by the team.
Eligibility and Requirements
The original advertisement sought candidates with professional experience in analytics engineering, data engineering, or a related field.
- At least three years of experience in analytics engineering, data engineering, or a closely related role involving data modeling.
- Strong SQL skills and practical experience using SQL in production environments.
- Experience with dbt, including data tests, documentation, and project structure.
- Working knowledge of Python for data analysis, scripting, pandas, and automation.
- Experience with a cloud data warehouse such as Snowflake, BigQuery, Amazon Redshift, or a similar platform.
- An understanding of query performance and data processing at scale.
- Strong documentation skills and the ability to produce clear, reusable data models.
- Comfort working with changing requirements and imperfect datasets.
- The ability to collaborate with technical and non-technical stakeholders.
Familiarity with voter data, VAN/EveryAction, or other political and civic datasets was an advantage. Experience with orchestration tools such as Airflow, Dagster, or Prefect, and ingestion platforms such as Fivetran or Airbyte, was also beneficial.
Salary and Contract Details
The advertised salary range was $85,000–$95,000 per year.
However, the original listing described the opportunity as a temporary role expected to end on November 15, 2026. It noted that an extension or conversion to a full-time position might be possible depending on business needs, but neither outcome was guaranteed.
The temporary role was also described as ineligible for employee benefits. Candidates should therefore distinguish the advertised annualized salary from the total value of a permanent employment package.
Any future vacancy may have different compensation, contract duration, and benefit arrangements. Confirm those details in the relevant official advertisement.
Is This Job Open to International Applicants?
No. Although the position was advertised as remote, Civitech stated that it was hiring within its existing US hiring footprint, covering 27 specified states. The company also stated that it could not provide visa sponsorship or employment-based work authorisation for this position.
Applicants residing in Nigeria and other countries outside the eligible US locations would therefore not meet the original location and work-authorisation requirements.
Remote work does not always mean worldwide eligibility. Candidates should check the specific countries or states listed in each job advertisement before applying.
How to Find Current Opportunities
Since the original Analytics Engineer vacancy is marked as closed, applicants should not rely on its old application link.
Instead, visit Civitech's official careers page to look for current data, engineering, research, and technology opportunities.
Professionals seeking similar roles should prepare a CV that highlights SQL expertise, dbt projects, Python skills, cloud data warehouse experience, data quality testing, and measurable improvements to data reliability or performance.
Final Thoughts
The Analytics Engineer position at Civitech was an opportunity for an experienced data professional to contribute to data infrastructure supporting civic technology and political engagement.
Its advertised salary was $85,000–$95,000 per year, but the position was temporary, had no employee benefits under the original terms, and was restricted to eligible US locations.
Because Remote OK now marks the vacancy as closed, interested professionals should use Civitech's official careers page to identify active opportunities rather than assuming this particular role is still available.
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