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Data Engineer - Information Technology Tithe.ly DATA Engineer Tableau Snowflake
Job in
Mission, Johnson County, Kansas, 66201, USA
Listed on 2026-01-16
Listing for:
Resource.fyi
Full Time
position Listed on 2026-01-16
Job specializations:
-
IT/Tech
Data Engineer
Job Description & How to Apply Below
# Tithe.ly is hiring a Remote Data Engineer Remote Role Type:
Full-time### Desired
Skills:
Data Engineer Tableau Snowflake AWSGoogle Cloud
CRMBusiness Intelligence SQL
** Join Tithe.ly,*
* *** We’re on a Mission
*** We’re a fully remote tech company that puts the Church first, serving over 50,000 churches around the world. We’re on a mission to see the local church have the financial stability and resources needed to build the Kingdom of God, and we work every day to deliver world-class, cost-effective technology tools to make the business of the church just a bit easier.
** Job Description
** The
** Data Engineer
** will play a pivotal role in designing, implementing, and maintaining our modern cloud data architecture. This position ensures data is reliable, timely, and optimized for consumption across the organization.
The ideal candidate is an ELT specialist with deep proficiency in dbt for transformation and Snowflake for scalable warehousing. This role requires a strategic, Data Ops-focused mindset, strong collaboration skills, and a commitment to delivering measurable business impact.
Our data platform serves as the scalable backbone for product innovation, operational reporting, and strategic decision-making. We are seeking an accountable, results-oriented engineer to join us during a critical phase of platform development and investment.
** Primary Responsibilities and Outcomes
** The successful candidate will be responsible for driving meaningful, long-term impact across our data ecosystem. Within the first 6-12 months and beyond, they will focus on the following:
** 1. Architecting Trusted Data Assets (dbt, Data Ops, Quality)
**** Outcome:
** Establish and continually advance our modern ELT environment (Snowflake/dbt) as the reliable backbone for corporate and team reporting by reducing data trust deficit and metric ambiguity.
** Deliverables:
*** Design, build, and maintain production-grade data models (Silver/Gold layers) using dbt, applying software engineering best practices such as CI/CD, testing, and modular design.
* Proactively develop and maintain clear documentation and data lineage using dbt artifacts to ensure downstream users have full visibility into data definitions and transformation logic.
* Partner closely with data team in rigorous code reviews and uphold strong version control standards (Git) across all transformation code.
** 2. Ensuring Scalability and Pipeline Reliability (Snowflake, Fivetran, Orchestration)
**** Outcome**:
Achieve and maintain 97% uptime and low latency for core ELT pipelines while proactively managing and optimizing cloud compute costs.
** Deliverables:
*** Architect and manage production data pipelines in Snowflake, using advanced SQL to optimize performance, warehouse configurations, and cost efficiency.
* Monitor and administer data ingestion through Fivetran to ensure seamless and timely loading of operational and application data.
* Troubleshoot and resolve complex data issues, performing bug fixes, performance analysis, and root-cause evaluation across the data pipeline.
** 3. Delivering Business Value and Self-Service Enablement (Sigma/Tableau)
**** Outcome:
** Expand data accessibility and operational efficiency through self-service capabilities, reducing ad-hoc requests and empowering teams across the organization (e.g., achieving measurable efficiency gains).
** Deliverables:
*** Curate, maintain, and deploy reliable, purpose-built data assets (data marts) optimized for use in BI tools such as Sigma and Tableau.
* Identify opportunities to automate manual data processes to improve runtime, reduce errors, and enhance data quality.
* Partner with stakeholders to ensure data assets are practical, well-structured, and aligned to key business goals.
** Qualifications
* * A Successful Candidate Will:
* ** Drive Results: C
** onsistently achieve measurable benchmarks and optimize delivery speed while maintaining quality and reliability.
* Possess a
** Strategic Mindset**:
Ability to define mid- and long-term technical direction for data assets that align with overall business objectives.
* ** Collaborate**:
Ability to work effectively in a fully distributed,…
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