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Remote Data Sql Python Jobs (NOW HIRING)

Apex Informatics

Data Engineer

$117.20K - $140.70K/yr

Remote Mandatory: SQL, Python, PySpark, DataBricks, ETL pipelines, Database Administration, ServiceNow. Required: • Data Analysis, Business Analysis, Advanced SQL • Broad experience in technology ...

Acunor Infotech

Data Product Analyst

Manhattan, NY · On-site +1

Location: Remote / Hybrid -- New York Type: Full-Time Job Summary We are seeking a Data Analyst / Analytics Product Analyst with strong experience in SQL, Python, data validation, and analytics ...

Saxon Global

(data engineer)

Richmond, VA · Remote

$113.30K - $136.10K/yr

... REMOTE OPPORTUNITY * Build ETL pipelines and reconciliation logic for APS GWPC data. * Work in a Databricks-heavy environment with SQL, Python, Delta Lake , and cloud platforms (Azure preferred)

Apex Informatics

Data Analyst

Data Analyst Location: Remote Duration: 6 Months (Contract) Demonstrated ability to effectively ... SQL, Python, Databricks notebooks, Snowflake

NAVA Software Solutions

Sr. Data Analyst - Remote

Manhattan, NY · On-site +1

$94.70K - $119.50K/yr

Details: Sr. Data Analyst Duration: Full time / Direct Hire Location: 100% Remote but candidate ... SQL, Python, BigData, Data Analytics As a Data Analyst, you will leverage machine learning and ...

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Remote Data Sql Python information

What are the key skills and qualifications needed to thrive as a Remote Data SQL Python professional, and why are they important?

To thrive as a Remote Data SQL Python professional, you need a solid understanding of relational databases, advanced SQL querying, data analysis, and Python programming, usually backed by a degree in computer science or a related field. Familiarity with tools like SQL Server, MySQL, PostgreSQL, and data visualization libraries (such as Pandas and Matplotlib), as well as certifications in data analytics or cloud platforms, is often required. Strong problem-solving abilities, self-motivation, and effective remote communication skills help you excel when working independently or with distributed teams. These competencies ensure accurate data management, insightful analysis, and seamless collaboration in remote or hybrid work environments.

How does a Remote Data SQL Python professional typically collaborate with other team members across different time zones?

Remote Data SQL Python professionals often work closely with data analysts, engineers, and product managers who may be located in various regions. Effective collaboration relies on clear documentation, regular virtual meetings, and asynchronous communication tools like Slack or Jira to keep projects on track. It's common to use version control systems such as Git for code sharing and review. Flexibility in scheduling and proactive updates help ensure that all team members stay aligned despite time zone differences.

What are Remote Data SQL Python jobs?

Remote Data SQL Python jobs are positions that involve working with data management and analysis using SQL (Structured Query Language) and Python programming, all performed remotely rather than in a physical office. Professionals in these roles typically handle tasks such as database querying, data cleaning, ETL (Extract, Transform, Load) processes, and data analysis. These jobs are common in industries that rely on large datasets and require expertise in both SQL for database work and Python for automation and advanced analytics. Remote positions provide the flexibility to work from any location with internet access, making them attractive to a wide range of candidates. Employers often look for candidates with strong technical skills, self-motivation, and the ability to work independently.

What is the difference between Remote Data Sql Python vs Data Analyst?

AspectRemote Data Sql PythonData Analyst
Required SkillsSQL, Python, data manipulation, scriptingExcel, SQL, data visualization, reporting
Work EnvironmentRemote, technical teams, data-focused projectsOffice or remote, business units, reporting tasks
CertificationsSQL, Python certifications, data analysis coursesNone mandatory, often business or analytics certifications
Industry UsageTech, finance, healthcare, data-driven companiesFinance, marketing, consulting, various industries

Remote Data Sql Python roles focus on data extraction, cleaning, and scripting using SQL and Python, often in technical environments. Data Analysts interpret data, create reports, and visualize insights, sometimes using SQL but with a broader focus on business understanding. Both roles require analytical skills, but Remote Data Sql Python positions are more technical and programming-oriented, while Data Analysts emphasize communication and reporting skills.

Infographic showing various Remote Data Sql Python job openings in the United States as of May 2026, with employment types broken down into 12% Internship, 76% Full Time, 6% Part Time, and 6% Contract. Highlights an 100% Remote job distribution.
Data Scientist (AI, Big Data, SQL, Python) - W2 Only - REMOTE

Data Scientist (AI, Big Data, SQL, Python) - W2 Only - REMOTE

Resource Point LLC

Minneapolis, MN • Remote

Contractor

Posted 8 days ago

Job description

Job Title: Data Scientist (AI, Big Data, SQL, Python) - W2 Only - REMOTE

Location: Minneapolis, MN

Duration: 12+ Months

Description:
Our audit and governance functions require a centralized data leader who can:

  • Architect scalable, secure, compliant data pipelines
  • Translate complex datasets into actionable insights for regulatory and operational decisions
  • Build intuitive, low-maintenance tools that empower non-technical users across the PA experience

Responsibilities:

  • Data Collection & Cleaning - They gather data from various sources and clean it to ensure it's usable—removing errors, filling in missing values, and standardizing formats.
  • Exploratory Data Analysis (EDA) - They explore the data to understand patterns, trends, and relationships using statistical techniques and visualizations.
  • Model Building - They build predictive models using machine learning algorithms to forecast outcomes or classify data.
  • Interpretation & Communication - They translate complex results into actionable insights and communicate them to stakeholders through reports, dashboards, or presentations.
  • Deployment & Monitoring - In some cases, they help deploy models into production systems and monitor their performance over time.

Ideal Background: 

  • Healthcare specific background would be helpful.
  • But candidate must be experienced in elements of statistics, computer science, and domain expertise to help organizations make data-driven decisions.
  • As well as, build and maintain artificial intelligence (AI) driven platforms/solutions.

Required Skills:

  • Programming: Python, R, SQL
  • Statistics & Mathematics
  • Machine Learning & AI
  • Data Visualization: Tools like Tableau, Power BI, or libraries like Matplotlib and Seaborn
  • Big Data Tools: Spark, Hadoop (for large-scale data)

Preferred:

  • Advanced SQL and Python for analytics, ETL, and automation
  • Data modeling, warehousing, and pipeline orchestration (cloud, native stack)
  • Dashboarding (Power BI; Streamlit or similar) and reproducible analytics (versioning, CI/CD preferred)
  • Healthcare data familiarity (claims, PA & appeals, pharmacy) and regulatory contexts (CMS, NCQA, URAC, ERISA, state rules)
  • Data security, privacy, and compliance best practices.