ZipRecruiter

Log In

2

Remote Data Sql Python Jobs (NOW HIRING)

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 ...

ICS Global Soft INC

Senior Data Engineer

Boston, MA · On-site +1

$115.20K - $156.40K/yr

Remote or Boston, MA & San Mateo, CA Duration: FTE Candidates need to be able to manage data ... Idealcandidate will be strong in SQL, python, tableau, Qlik or another cloud DV tooland mid (Boston ...

Diverse Lynx

Snowflake Data Engineer

Stamford, CT · Remote

$50 - $70/hr

Stamford, CT ( Remote ) Position : ( C2C Role ) Duration : ( 6+ Months) Pay Range : $50 - 70/Hr ... Python, Snowflake, ETL/ELT. Design, develop, and maintain ETL/ELT pipelines using Snowflake, SQL ...

next page

Showing results 1-20

People also search for

All JobsRemote Data Sql Python Jobs

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.
Azure Architect with Data Bricks - Remote

Azure Architect with Data Bricks - Remote

The Dignify Solutions, LLC

Mount Laurel, NJ • Remote

$63 - $82/hr

Full-time

Posted 11 days ago

Job description

OverviewAzure Architect with Data Bricks - Remote.Responsibilities12-15 years of overall experience. Proven experience as an Azure Architect with Data Bricks.Implement modern data solutions with Azure Synapse, Data Lake, Data Bricks, SQL data warehouse, and Cosmos DB.Experience setting up CI/CD for Azure Synapse/Data Factory.Experience migrating data from on-premises to Azure.Experience building data pipelines from scratch.Build and maintain data ingestion and validation pipelines for both structured and unstructured data sources.Use Agile techniques to plan workload and manage expectations for results.Experience with Azure services: Data Factory, Synapse, Blob Storage, ADLS, Azure SQL, Logic Apps.Solid knowledge of data processing languages, such as SQL, Python, or Scala.QualificationsSeniority level: Mid-Senior levelEmployment type: Full-timeJob function: OtherIndustries: IT Services and IT ConsultingJ-18808-Ljbffr

Dignify Solutions logo

About Dignify Solutions

Sourced by ZipRecruiter

The Dignify Best Serves To Its Clients By Adhering To And Executing Superior Processes. The company is dedicated to operational excellence as part of a client-centric mindset that assures consistent execution. The Dignify has developed and refined every step in the full lifecycle staffing fulfillment and consultant management practice

Industry

It services

Company size

51 - 200 Employees

Headquarters location

San Francisco, CA, US

View All Dignify Solutions Jobs

Apply