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Snowflake Sql Python Data Report Analysis Jobs (NOW HIRING)

Data Architect (Snowflake)

Chicago, IL · On-site

$65.75 - $84.50/hr

... problem solving and analytical skills. Ability to manage multiple projects and report ... DB's technologies (SQL, Python, Cassandra, PostgreSQL, AWS Aurora, AWS RDS , MongoDB, Redis ...

Data Architect (Snowflake)

Chicago, IL · On-site

$65.75 - $84.50/hr

Effective problem solving and analytical skills. Ability to manage multiple projects and report ... Experience or knowledge of basic programming and DB's technologies (SQL, Python, Cassandra ...

... SQL stored procedure Managing data o JavaScript Java NET Python JS o Data modelling o Power B ... analytical skills and employ judgment to offer thoughtful concise input toward resolutions of ...

Snowflake Data Engineer

Boston, MA · On-site

$124K - $149K/yr

Support enterprise analytics and reporting initiatives with reliable data structures. Required ... Advanced SQL development for large-scale transformations . * Experience with Snowflake ingestion ...

Understanding User/Data/Network Security * Awareness of DB Optimization techniques pertinent to ... shell, Python, Perl, C, * You are familiar with Java, J2EE, Embedded SQL, Forms, Reports, etc.

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How much do snowflake sql python data report analysis jobs pay per year?

As of Jun 7, 2026, the average yearly pay for snowflake sql python data report analysis in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.
What cities are hiring for Snowflake Sql Python Data Report Analysis jobs? Cities with the most Snowflake Sql Python Data Report Analysis job openings:
Infographic showing various Snowflake Sql Python Data Report Analysis job openings in the United States as of May 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Senior Data Analytics Engineer

Hudson Manpower

Chicago, IL • On-site

$40 - $50/hr

Contractor

Posted 4 days ago


Job description

Job Summary
We are seeking a Senior Data Analytics Engineer to design, build, and optimize analytics solutions that support business intelligence, reporting, and decision-making. The ideal candidate will have strong expertise in SQL, Python, data modeling, BI tools, and modern analytics engineering practices.
Responsibilities
  • Design and maintain analytics solutions across raw and semantic data layers.
  • Partner with business stakeholders to translate business requirements into data models, dashboards, and actionable insights.
  • Build and optimize SQL and Python-based data pipelines for analytics platforms.
  • Establish and promote analytics standards, governance, and best practices.
  • Enable self-service analytics using BI and data preparation tools.
  • Document, test, validate, and monitor data quality to ensure trust in reporting.
  • Collaborate with analysts and support ad-hoc analytical initiatives.
  • Contribute to cloud-based analytics and data engineering solutions.
  • Support analytics related to financial risk, trading, and operational reporting where applicable.

Required Qualifications
  • Bachelor's or Master's degree in a quantitative field or equivalent experience.
  • 3+ years of experience in Data Analytics, Analytics Engineering, BI, Data Engineering, Risk Analytics, or Software Development.
  • Strong SQL skills with experience writing complex analytical queries.
  • Proficiency in Python for data processing and pipeline development.
  • Experience with Tableau and Alteryx or comparable BI/Data Preparation tools.
  • Experience with Git, code versioning, pull requests, and modern development workflows.
  • Exposure to dbt and workflow orchestration tools such as Airflow, Dagster, or Prefect.
  • Experience with cloud platforms such as AWS, Azure, Databricks, or Snowflake.
  • Strong understanding of data modeling concepts including 3NF and Star Schema.
  • Knowledge of statistics and analytical methodologies.
  • Strong communication and stakeholder management skills.

Preferred Qualifications
  • Experience in Financial Services, Trading, Clearing, Risk Management, or Capital Markets.
  • Experience supporting enterprise-scale analytics environments.