Data Engineer

Adroit; Phoenix (AZ); Hybrid; USD 75,000 - 125,000; Full time

Benefits offered by this job

Comprehensive health, dental and vision insurance

Hybrid / remote work options

Learning budget for certifications

Job summary

A premier IT solutions company in Phoenix is seeking a Data Engineer to design and maintain data pipelines and integration layers for analytics and machine learning initiatives. The successful candidate will have at least 2 years of experience, proficiency in Python and SQL, and familiarity with tools like Airflow and dbt. This role offers a competitive salary and benefits including health insurance, a hybrid working model, and a professional development budget.

Qualifications

• 2+ years of professional data engineering experience.
• Proficiency in Python 3 for data processing and workflow automation.
• Strong SQL skills and experience with at least one cloud data warehouse.

Responsibilities

• Build and maintain ELT/ETL pipelines using Python, dbt, and Airflow.
• Design and implement data models in cloud warehouses.
• Ensure data quality through testing and validation.

Skills

Proficiency in Python 3

Strong SQL skills

Experience with ELT/ETL orchestration tools

Understanding of data modeling

Tools

Apache Airflow

dbt

Snowflake

BigQuery

Redshift

Job description

Data Engineer — Position Summary

Adroit Affine is looking for a Data Engineer to design, build and maintain the data pipelines, warehouses and integration layers that power analytics and machine learning initiatives for enterprise clients. You will work with a modern data stack — dbt, Apache Airflow, Spark and cloud-native data platforms — to deliver reliable, well-governed data products.

Key Responsibilities

• Build and maintain ELT/ETL pipelines using Python, dbt, Apache Airflow or Prefect.
• Design and implement data models in cloud warehouses (Snowflake, BigQuery or Redshift).
• Ingest data from diverse sources: APIs, databases, event streams and flat files.
• Ensure data quality through testing, validation and automated monitoring.
• Work with data architects to design scalable, modular data platform components.
• Collaborate with data scientists and business analysts to understand their data needs.
• Document data lineage, schema definitions and pipeline dependencies.
• Participate in code reviews and contribute to data engineering best practices.

Required Qualifications

• 2+ years of professional data engineering experience.
• Proficiency in Python 3 for data processing and workflow automation.
• Strong SQL skills and experience with at least one cloud data warehouse.
• Experience with ELT/ETL orchestration tools (Airflow, Prefect, Dagster or similar).
• Familiarity with dbt for data transformation and testing.
• Understanding of data modelling: star/snowflake schemas, data vault.

Preferred Qualifications

• Apache Spark / PySpark experience for large-scale data processing.
• Stream processing with Apache Kafka, Kinesis or Pub/Sub.
• Experience with Delta Lake, Apache Iceberg or Hudi.
• Knowledge of data governance and cataloguing tools (Alation, DataHub).

Compensation & Benefits

• Salary: $75,000 – $125,000 based on experience.
• Comprehensive health, dental and vision insurance.
• Hybrid / remote work options available.
• Learning budget for certifications (dbt, Snowflake, cloud platforms).
• Exposure to diverse data stacks across multiple enterprise client environments.

Requirements

2+ years of data engineering experience; proficiency in Python 3 and SQL.

Experience with Airflow, Prefect or Dagster; dbt for transformations.

Solid cloud data warehouse knowledge (Snowflake, BigQuery or Redshift).

About the Company

Adroit Affine is a premier IT solutions and staffing company headquartered in Phoenix, AZ. We partner with Fortune 100 enterprises across 10+ countries, delivering cloud transformation, cybersecurity, data analytics, DevOps and IT staffing services. Our team of 100+ trained professionals brings deep technical expertise and a commitment to measurable outcomes. We offer competitive compensation, certification reimbursement, a professional development budget and a collaborative culture where every engineer has the opportunity to make a real impact.