Head of Data Engineering

WHO WE ARE

Clients range from single-location retailers to franchise groups with hundreds of stores, all running our point-of-sale and loyalty software. Built in Scottsdale, our document management tool is used by county clerks, title companies and small law offices.

THE ROLE

Scottsdale Software needs someone who writes solid SQL and Python and treats pipelines like production software. This hire will help replace a set of fragile nightly scripts with tested, monitored pipelines. Our headquarters is in Scottsdale, and about a third of the team works remotely from other countries. Contract role, full-time hours, paid in USD at the end of each month. Core hours overlap with US Central time, 9:00 AM to 1:00 PM CT. We send you a laptop and the accessories you need on day one.

DAY TO DAY

• Write data quality tests with dbt or Great Expectations and alert on failures
• Ingest data from APIs, SaaS tools and databases with Fivetran, Airbyte or custom Python
• Handle PII according to retention, masking and access policies
• Maintain CI for data code and review pull requests
• Build batch and streaming pipelines with Airflow, Dagster or Prefect
• Respond to pipeline failures and backfill data when needed
• Process large datasets with Spark on Databricks or EMR

REQUIREMENTS

• 10+ years of data engineering, or backend work with data at volume
• Understanding of dimensional modelling and slowly changing dimensions
• Patience with messy source data and the habit of documenting assumptions
• Strong Python for data processing

PREFERRED

• Kafka, Flink or Spark Structured Streaming
• Dbt Certified Developer or Databricks certification
• Background in finance or marketing data

BENEFITS

Compensation: $8,300 to $10,500 monthly

• Monthly internet allowance
• Annual rate review

Please submit your CV in English.

Duration: 3 months. Start: Immediately.

Demo job created on 11jobs for testing and demonstrations. It is not an actual opening at Scottsdale Software.