2

Entry Level Python Engineer Jobs in Brooklyn, NY

ETL Engineer

Manhattan, NY · On-site

$120/hr

This is not an entry-level role. You will be working with modern data tools and large datasets ... Programing in Python or Scala for data processing If you do not have ETL + SQL + ClickHouse ...

We are looking for an entry-level Security Operations Engineer to join our team and help out on ... Basic scripting with Python/Bash. * Familiarity with Jira and Jira automation. * Familiarity with ...

This is not an entry-level role. You will be working with modern data tools and large datasets ... Programing in Python or Scala for data processing If you do not have ETL + SQL + ClickHouse ...

Website:- www.consultadd.com Software Developer (Entry Level/Experienced) The Candidates who are in ... Basic understanding of SQL, C#, Ruby On Rails, Python, AngularJS, Java Script, Oops. * Must be a ...

Senior DevOps Engineer

Jersey City, NJ · On-site

$103.92K - $173.30K/yr

... Python. Position requires 10% domestic travel. Other Annual Salary: $103,917.00 - $173,300.00 ... Professional development From entry-level employees to senior leaders, we believe there's always ...

Product Design Engineer

New York, NY

$141.10K - $169.60K/yr

We are seeking an experienced professional, but we will also consider entry-level applicants with ... Knowledge of a variety of programming languages (C++, Python, Visual Basic). This position is to be ...

Data Intern

New York, NY · On-site

$20 - $25/hr

ExodusPoint is seeking an entry-level graduate to join the Data Engineering team in New York. This ... Build data sets using Python, SQL, and related technologies. * Develop an understanding of ...

ExodusPoint is seeking an entry-level graduate to join the Data Engineering team in New York. This ... Build data sets using Python, SQL, and related technologies. * Develop an understanding of ...

Company Description Entry Level - web developer - - Create and setup a Rails environment Use ... and python. You can help build the next generation of the largest open business network that ...

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Showing results 1-20

Entry Level Python Engineer information

See Brooklyn, NY salary details

$24.2K

$147.2K

$212.9K

How much do entry level python engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for entry level python engineer in Brooklyn, NY is $147,180.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,200.00 and $173,000.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Python Engineer vs Data Analyst?

AspectEntry Level Python EngineerData Analyst
Required SkillsPython programming, basic data structures, scriptingData analysis, SQL, Excel, visualization tools
CertificationsPython certifications, basic data analysis coursesData analysis certifications, SQL certifications
Work EnvironmentSoftware development teams, tech companiesBusiness intelligence, research firms, finance
Industry UsageTech, software development, startupsFinance, marketing, consulting

While both roles involve working with data and require some programming knowledge, Entry Level Python Engineers focus on developing software and scripts using Python, whereas Data Analysts primarily analyze data to generate insights using tools like SQL and Excel. The roles often overlap in tech environments, but their core responsibilities differ.

What are popular job titles related to Entry Level Python Engineer jobs in Brooklyn, NY? For Entry Level Python Engineer jobs in Brooklyn, NY, the most frequently searched job titles are:
What cities near Brooklyn, NY are hiring for Entry Level Python Engineer jobs? Cities near Brooklyn, NY with the most Entry Level Python Engineer job openings:
ETL Engineer

ETL Engineer

MedReview

Manhattan, NY • On-site

$120/hr

Full-time

Posted 10 days ago


Job description

Position Summary:
MedReview is looking for a hands-on ETL Engineer who knows how to build, optimize, and scale data pipelines in a high-performance environment. This is not an entry-level role. You will be working with modern data tools and large datasets, with a strong focus on ClickHouse, SQL performance, and real time data processing.
If you're someone who can take ownership of data pipeline end-to-end and thrives in a fast-paced data-driven environment, this role is for you. This is an on-site role Monday - Thursday with remote Fridays. Candidates must be able to consistently work on-site. No exceptions. Salary $120-130K
Responsibilities:
You will be responsible for building and maintaining scalable ETL pipelines that power analytics and business intelligence.
  • Design and develop ETL pipelines using SSIS, Azure Data Factory, and Databricks
  • Build and optimize ClickHouse ingestion pipelines (batch + streaming)
  • Develop transformations for structured and semi-structured data
  • Optimize SQL Server and ClickHouse queries for performance and scalability
  • Improve data models, partitions, and materialized views in ClickHouse
  • Integrate data from multiple sources (APIs, SQL Server, cloud storage, Kafka/Event Hubs)
  • Monitor pipeline performance and ensure low latency + high reliability
  • Implement data quality checks, error handling and lineage tracking
  • Partner with BI teams to support dashboards (Power BI, etc)
Must-Haves (Non-Negotiables):
We are targeting candidates who already have strong, hands-on experience in the following:
  • ETL tools: Azure Data Factory, SSIS, Databricks
  • Strong SQL skills (writing, optimizing, and troubleshooting complex queries)
  • Experience working with ClickHouse (schema design, ingestion, optimization)
    Experience with cloud environments (Azure perferred)
  • Programing in Python or Scala for data processing
If you do not have ETL + SQL + ClickHouse exposure, you will not be a fit.
Nice to Have:
  • Experience with streaming data (Kafka, Event Hubs)
  • Exposure to big data frameworks
  • Understanding of DevOps/Data pipeline deployment practices
  • Experience supporting BI tools (Power BI, Tableau)
What Success Looks Like:
  • You can independently build and optimize ETL pipelines
  • You understand how to make data systems faster, cleaner, and scalable
  • You're comfortable working across engineering, analytics, and business teams
  • You proactively identify performance issues and fix them