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Afternoon Cockroachdb Jobs (NOW HIRING)

Afternoon Cockroachdb information

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How much do afternoon cockroachdb jobs pay per hour?

As of May 31, 2026, the average hourly pay for afternoon cockroachdb in the United States is $18.12, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $20.19 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Cockroachdb jobs? The most popular types of Cockroachdb jobs are:
Infographic showing various Afternoon Cockroachdb job openings in the United States as of May 2026, with employment types broken down into 2% As Needed, 90% Part Time, 2% Temporary, 4% Contract, and 2% Nights. Highlights an 100% Remote job distribution, with an average salary of $37,685 per year, or $18.1 per hour.
Data Architect

Data Architect

Apex Informatics

Owings Mills, MD • On-site

$60.75 - $78.25/hr

Full-time

Posted 14 days ago


Job description

T Rowe has a need coming up for a Data Architect. I won't have a conversation with manager till late Monday afternoon but I'll share what I know at the moment. This is a hands on data engineering role but also includes steering strategic technology direction, define target state architecture, roadmaps and help build reference implementations in partnership with our Platform Engineering teams. On the technical side must have SQL, Adobe Experience Platform (AEP), ETL, AWS, Spark or Snowflake, and Python or Pyspark. I don't have rate yet so if you have anyone prior to call just send at most competitive rate. The interview process will likely be two steps and position is hybrid 2 days a week on site in Owings Mills, MD no exceptions. With submittals please include references and LinkedIn pages. The rest of the JD is below
Tech Architect Job Responsibilities:
At least 5+ years' experience as a data engineer
Experience in Adobe Experience Platform Integration patterns
Experience in building framework and reference Implementations
Experience in SQL is a must
Experience coding in python, pyspark for server side/data processing
2+ years experience using modern data stack (spark, snowflake) on cloud platforms (AWS)
Experience building ETL/ELT pipelines for complex data engineering projects (using Airflow, dbt, Great Expectations would be a plus)
Experience with Database Modeling, Normalization techniques
Experience with dev ops tools like Git, Jenkins, Gitlab CI
Skills that would be a plus:
ETL tools (Informatica, Snaplogic, dbt etc.)
Experience with Snowflake or other Cloud Data warehousing products
Exposure with Workflow management tools such as Airflow
Exposure to messaging platforms such as Kafka
Exposure to New SQL platforms such as Cockroachdb, Postgres etc