Data Engineer 4
- Job Title
- Data Engineer 4
- Job ID
- 27732563
- Work Remote
- Yes
- Location
- Austin, TX 78758
- Other Location
- Remote (US)
- Description
-
Data Engineer 4
12+ Months W2 Contract
Remote (CST timezone preferred)
Benefits You’ll Love:- NextDeavor offers health, vision and dental benefits for contract employees
- Paid sick leave eligibility is contingent on state of residence
- Optional 401k Plan (excludes employer match)
- Opportunity to get your foot in the door at a well-established corporation, with potential for extended or permanent full-time employment (NextDeavor boasts an impressive conversion rate of approximately 70%)!
Adobe Commerce Engineering Operations is building next-generation business analytics and decision support capabilities to enable modern, data-driven engineering management and business optimization. Being data-driven is central to who we are and how we operate. We are looking for someone who deeply appreciates the power of answering business questions with data, who loves to design data to solve problems, and who loves to automate things to create game-changing insights that drive quick, informed decision-making.
Here’s how you’ll make an impact on the team:- Build collaborative relationships to solve problems with data.
- Acquire operational domain knowledge through collaboration with management and engineering teams.
- Build data solutions in Python, SQL, and Cloud-Native ETL tools to answer business questions.
- Analyze data sources to implement data preprocessing and transformation/aggregation algorithms in Python.
- Perform feature engineering to answer breakthrough business and operational questions.
- Build visualizations in Power BI and AWS QuickSight.
- Document and present ongoing work and data insight to business stakeholders.
Here’s what you’ll need to be successful in this role:- Undergraduate degree in Computer Science, Data Science, a related technical field or comparable work experience
- 5+ years of professional experience in the development, and operations of ETL and data analytics applications
- 5+ years of experience building RDBMS (SQL) solutions
- 3+ years of experience doing exploratory data analysis in Python (NumPy, Pandas)
- 3+ years of experience with AWS technologies (S3, Redshift, Glue, Lambda)
- Experience building ETL data pipelines, data quality checks, and data anomaly detection and notification systems
- Experience working with CI/CD technologies and cloud infrastructure services
- Must be highly effective in written and verbal communication and be comfortable presenting problems and solution hypotheses
Here’s what else might help you out:- Talend experience
- MLOps experience building, training, running, and managing machine learning models in production
$63.00 - $70.00/hour
Ready to make your mark? Take the leap and apply directly here: <https://j.brt.mv/jb.do?reqGK=27732563&refresh=true> – your application is in good hands.
- Pay Range
- $63.00 Hourly to $70.00 Hourly
