Data Engineer at Mogl (Formerly Ventura Growth)

Denver, Colorado, United States -

Full Time

Start Date

Immediate

Expiry Date

05 Apr, 26

Salary

130000.0

Posted On

05 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, ETL, ELT, Data Pipelines, Snowflake, SQL, Python, API Integrations, Data Quality, Data Governance, Analytics, Git, Problem Solving, Documentation, Data Modeling, Cost Optimization

Industry

Advertising Services

Description

About Mogl Data Mogl Data is the data and technology arm of Mogl, specializing in building reliable, scalable data systems that power analytics, automation, and decision-making. We partner with brands, agencies, and technology-driven organizations to unify data sources, build efficient pipelines, and enable high-quality insights. We are expanding our engineering capacity to support a growing workload of ongoing data operations, integrations, and modeling tasks. Position Overview We are seeking a Full-Time Data Engineer responsible for managing and maintaining the core data workflows, integrations, and data platform components across our client portfolio. This role is hands-on and focused on execution: ensuring ETL/ELT pipelines run smoothly, managing Snowflake environments, publishing datasets to Sigma, and ensuring data quality. This is an excellent opportunity for an engineer with a strong foundational skill set who is ready to take ownership of recurring data operations and grow into broader responsibilities over time. You will report to the Director of Data & Analytics. Key Responsibilities ETL / ELT & Data Pipelines Build, maintain, and monitor data pipelines using Rivery, Fivetran, and custom scripts. Manage API-based ingestion workflows.. Troubleshoot pipeline failures and perform root-cause analysis. Optimize pipelines for cost efficiency, reliability, and performance. Data Warehousing (Snowflake) Manage Snowflake schemas, tables, views, permissions, and stored procedures. Implement and maintain RBAC, row-level policies, and warehouse configurations. Analytics Enablement Prepare and publish analytics-ready datasets to Sigma Computing. Ensure accuracy and trustworthiness of datasets used by analysts and non-technical stakeholders. Support data consumers by documenting tables, assumptions, and data flows. Quality, Governance & Operations Implement validation checks, testing, and QA processes across data workflows. Maintain transparency via Git-based version control. Respond to data issues within agreed SLAs and escalate when needed. Collaboration & Delivery Work closely with analysts and technical leads to understand data requirements. Create technical documentation, data flow diagrams, and update logs. Assist in light platform architecture work as skills progress. Qualifications Bachelor’s degree in Computer Science, Engineering, Mathematics, or equivalent experience. 2+ years of experience in data engineering, analytics engineering, or similar work. Strong SQL skills and working proficiency in Python. Experience with Snowflake. Familiarity with ETL/ELT tools (e.g., Boomi, Fivetran, Stitch, Talend). Understanding of data modeling best practices. Experience using Git for version control. Strong problem-solving skills and attention to detail. Ability to communicate clearly with both technical and non-technical stakeholders. Nice-to-Have Experience working with marketing, advertising, or customer data. Experience with Sigma Computing or other BI platforms (Looker, Tableau, Power BI). Exposure to API integrations or custom ingestion scripts. Experience in consulting, client-facing roles, or multi-client environments. Understanding of data governance, cost optimization, and observability concepts. Please note this role is only open to candidates in the Denver, CO area. This role is hybrid, and will work from our downtown Denver office on Tuesdays and Thursdays each week. We have created a great office environment with team lunches on Tuesday and downtown parking stipends. The estimated pay range for this role is a base salary of $100,000-$130,000 with a quarterly incentive package that will be discussed before the official offer. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. All roles are eligible for the following benefits and perks: Health Care Insurance Company stipends for specific perks – Health & Wellness, Education, Home Office, Downtown Parking, etc Flexible time off – we encourage at least three weeks a year Paid parental leave Flex Time between Christmas to New Year's Day 12 Paid Holidays To learn more about our benefits and perks, click HERE. At Mogl, we are committed to diversity and inclusion. As an equal opportunity employer, all qualified candidates will be considered for employment without regard to race, color, creed, religion, age, sex or gender (including pregnancy, childbirth, lactation, and related medical conditions), gender identity, or gender expression, sexual orientation, marital status, national origin, ancestry, citizenship status, military service or veteran status, physical or mental disability, or any other legally protected characteristic. If you have a disability or particular need that requires accommodation at any point in the hiring process, please let our Director of People know. Applicants must be currently authorized to work in the United States on a full-time basis. We are only reviewing candidates currently living in the Denver region.

Responsibilities

The Data Engineer will manage and maintain core data workflows, integrations, and data platform components. This includes building and monitoring data pipelines, managing Snowflake environments, and ensuring data quality.