Sr. DataOps Engineer at BambooHR

, Utah, United States -

Full Time

Start Date

Immediate

Expiry Date

05 Feb, 26

Salary

0.0

Posted On

07 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Dataops, Data Quality, Data Governance, ETL, SQL, Python, AI, DBT, Databricks, Snowflake, Bigquery, Git, CI/CD, Monitoring, Dashboards, Data Modeling

Industry

Human Resources Services

Description

Please Note: This is a Utah-based hybrid position which will require some regular in-office days each week. Additionally, employment with BambooHR is contingent on passing both a background and credit check. Essential Job Duties Our data platform engineering team is expanding. We believe data and algorithms can be a bionic arm to do some heavy lifting. Through our mission we have the opportunity to help millions of users in growing businesses achieve more with their teams by providing timely insights and intelligent interactions. We are seeking a detail-oriented and highly motivated Senior DataOps Engineer to join our data platform team. In this role, you will be responsible for ensuring the accuracy, reliability, and consistency of our data pipelines and systems. You will design, implement, and maintain automated processes to validate data quality, monitor pipelines, and work closely with engineers, analysts, and stakeholders to drive trust in our data assets. If you are passionate about data integrity, problem-solving, and building scalable solutions to maintain high-quality datasets, this role is for you. You will: Develop and enforce DataOps best practices, including CI/CD, automated testing, monitoring, and observability for data workflows. Implement tools and frameworks for data quality, lineage, and governance. Monitor data ingestion and transformation processes, ensuring data is complete, consistent, and accurate Partner with BI and Analytics teams to integrate automated testing into modeling workflows Develop test plans with deep and wide coverage Investigate and resolve data quality issues, collaborating with engineers, analysts, and business stakeholders Build dashboards and reporting tools to track data quality metrics and proactively identify issues Partner with the data governance team to implement automated data quality tests and ensure compliance with governance and security requirements Continuously improve processes for detecting, tracking, and preventing data anomalies What You Need to Get the Job Done Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field 7+ years of experience in data engineering, data governance, data quality, or related roles Understanding of data lake, lakehouse, and data warehouse systems, applications, infrastructure and related technologies Strong understanding of data modeling, ETL/ELT processes, and data governance Strong SQL skills with experience analyzing code and validating result sets Proficiency in Python for data validation and automation Ability to leverage AI to accelerate development and testing Experience with data pipeline and test automation tools like DBT Experience with data systems like Databricks, Snowflake, and BigQuery Experience with Git-based team coding workflows What Will Make Us REALLY Love You Deep knowledge of SaaS business systems, data domains, and related KPIs Experience developing CI/CD pipelines for automated testing and code deployment Strong understanding of data modeling methodologies Understanding of test automation related to semantic layers and metrics stores Experience with AI and NLP and best practices for quality assurance and benchmarking Beyond the technical skills, we’re looking for individuals who are: Clear communicators with team members and stakeholders Analytical and perceptive of patterns Creative in engineering and architecture Detail-oriented and persistent Productive in a dynamic setting What You'll Love About Us A Great Company Culture that has been recognized by multiple organizations like Inc, and Salt Lake Tribune Comprehensive health, life, and disability insurance Generous leave policies that include 4 weeks of vacation, 12 company holidays, parental leave, and volunteer time off so you can enjoy quality of life 401k plans with up to 6% company match $2000 Paid-Paid Vacation bonus EAP through Headspace Check out all our benefits that benefit you About Us At BambooHR, we're building something different: we're building a people intelligence platform that transforms HR and sets people free to do great work! We're a proven market leader driving innovation while building lasting success through thoughtful, sustainable growth. Here, you'll find a place that champions growth: both professional and personal, both individual and collective. We invest in potential, giving you the space to stretch your capabilities and turn good ideas into reality while providing the safety net of a supportive, values-driven culture. Our approach combines meaningful work with meaningful lives, offering competitive benefits, professional development, and the flexibility to thrive both in and outside the office. What sets us apart isn't just what we do, but how we do it: with openness, integrity, and a shared commitment to doing the right thing. Join us in creating HR software that makes work better for everyone, while we make work better for you. BambooHR is committed to the full inclusion of all qualified individuals and will ensure that persons with disabilities are provided reasonable accommodations throughout the hiring process. If you would like to request accommodations, please let your recruiter know. BambooHR is An Equal Opportunity Employer--M/F/D/V Because our team members are trusted to handle sensitive information, we require all candidates that receive and accept employment offers to complete a background check before being hired. For information on California Privacy Policy, click here. Our process utilizes AI as an assistant to efficiently process and analyze candidate data. Recruiters and hiring managers maintain full oversight and accountability, ensuring that all final selection and rejection decisions are human-made and based solely on objective job qualifications. Please see our General Privacy Notice and California Privacy Notice for more details.

Responsibilities

The Senior DataOps Engineer will ensure the accuracy, reliability, and consistency of data pipelines and systems. This includes developing best practices, monitoring data processes, and collaborating with various teams to maintain high-quality datasets.