Data Engineer
Data Engineer (Hybrid - Scottsdale, AZ or Relocation Required)
We are seeking a highly skilled Data Engineer to join a fast-paced and collaborative team. This role is ideal for someone with strong experience in modern data engineering practices and a passion for building scalable, efficient data solutions.
Please note: Visa sponsorship is not available for this role. Candidates must be located in Scottsdale, AZ or willing to relocate. This is a hybrid position.
Compensation
- Salary Range: $100,000 - $130,000 annually
Key Responsibilities
- Design, develop, and maintain robust data pipelines using Azure Data Services (Azure Data Factory, Synapse, Azure SQL, etc.)
- Implement ETL processes with Pentaho PDI and Airbyte for data ingestion and transformation
- Optimize SQL queries for performance and efficient data retrieval
- Build data solutions to support BI, analytics, and AI/ML initiatives
- Administer and maintain Azure infrastructure, including security, monitoring, and performance tuning
- Develop automation and transformation scripts using Python and integrate with APIs
- Orchestrate workflows using Dagster or Apache Airflow
- Create advanced reports and dashboards in Power BI, including paginated reports and complex DAX calculations
- Collaborate with analysts, data scientists, and business stakeholders to deliver impactful solutions
- Ensure data quality, governance, and security across platforms
Required Skills & Experience
- 3-5 years of experience as a Data Engineer in Azure Cloud environments
- Strong expertise in Azure Data Services (ADF, Synapse, Databricks, Azure SQL)
- Proficiency with ETL tools, especially Pentaho PDI and Airbyte
- Advanced SQL skills with a focus on query optimization
- Experience with Power BI and Power Automate
- Hands-on Azure administration experience
- Proficiency in Python for scripting and automation
- Experience with DBT for data transformations
- Familiarity with Dagster or Apache Airflow for orchestration
- Strong understanding of data modeling (dimensional, star, snowflake schemas)
- Ability to work effectively in an agile, collaborative environment
Preferred Qualifications
- Experience with DevOps practices for CI/CD in data engineering
- Exposure to AI/ML technologies on Azure
- Knowledge of finance and operational reporting
- Familiarity with data governance and compliance (e.g., GDPR, HIPAA)
- Background in manufactured housing or property management is a plus
FAQs
Congratulations, we understand that taking the time to apply is a big step. When you apply, your details go directly to the consultant who is sourcing talent. Due to demand, we may not get back to all applicants that have applied. However, we always keep your resume and details on file so when we see similar roles or see skillsets that drive growth in organizations, we will always reach out to discuss opportunities.
Yes. Even if this role isn’t a perfect match, applying allows us to understand your expertise and ambitions, ensuring you're on our radar for the right opportunity when it arises.
We also work in several ways, firstly we advertise our roles available on our site, however, often due to confidentiality we may not post all. We also work with clients who are more focused on skills and understanding what is required to future-proof their business.
That's why we recommend registering your resume so you can be considered for roles that have yet to be created.
Yes, we help with resume and interview preparation. From customized support on how to optimize your resume to interview preparation and compensation negotiations, we advocate for you throughout your next career move.