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Remote Python Sql Jobs in Vincentown, NJ (NOW HIRING)

Data Engineer

Camden, NJ · On-site +1

$110K - $152K/yr

... Python and/or PySpark and Databricks SQL. * Familiarity with Azure Data Factory and Azure Data Lake ... remote for the right candidate. Compensation and Benefits: The target base salary range for this ...

Senior Cybersecurity Engineer

Philadelphia, PA · On-site +1

$115K - $158K/yr

... remote option.) Job Summary The CONNECT Cybersecurity & Privacy team partners across Comcast ... Programming or automation experience using Python and SQL to support security analytics, reporting ...

Senior Cybersecurity Engineer

Philadelphia, PA · On-site +1

$115K - $158K/yr

... remote option.) Job Summary The CONNECT Cybersecurity & Privacy team partners across Comcast ... Programming or automation experience using Python and SQL to support security analytics, reporting ...

... for the remote option.) Job Summary We are seeking a highly experienced Software Engineering ... Python (Programming Language); Node.js Base pay is one part of the Total Rewards that Comcast ...

... for the remote option.) Job Summary We are seeking a highly experienced Software Engineering ... Strong experience with more than one database technology, such as MongoDB, PostgreSQL, Redis, SQL ...

Showing results 21-29

Remote Python Sql information

See Vincentown, NJ salary details

$13

$58

$86

How much do remote python sql jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for remote python sql in Vincentown, NJ is $58.93, according to ZipRecruiter salary data. Most workers in this role earn between $48.56 and $66.92 per hour, depending on experience, location, and employer.

What is a remote Python SQL developer?

A Remote Python SQL job involves working with databases and backend systems using the Python programming language and SQL (Structured Query Language) while working from a location outside of a traditional office. Professionals in this role typically write code to query, manipulate, and analyze data stored in databases, automate data workflows, and build data-driven applications. Remote arrangements allow these tasks to be completed from anywhere with a stable internet connection, offering flexibility while still requiring strong technical and communication skills.

What skills and qualifications are needed to thrive as a remote Python SQL developer?

To thrive as a Remote Python SQL Developer, you need strong proficiency in Python programming and SQL database management, typically backed by a degree in computer science or related experience. Familiarity with tools like PostgreSQL, MySQL, version control systems (e.g., Git), and cloud platforms is commonly required, along with any relevant certifications. Excellent problem-solving, self-motivation, and effective remote communication skills set standout professionals apart in this role. These skills are crucial for efficiently building and maintaining robust data-driven applications while collaborating seamlessly in distributed teams.

What are common challenges faced by remote Python SQL developers, and how can they be addressed?

Remote Python & SQL Developers often face challenges such as effective communication with distributed teams, managing overlapping project priorities, and ensuring data security when accessing databases remotely. To address these, it's crucial to establish clear communication routines (like daily stand-ups), use collaborative tools (such as Slack or Jira), and strictly follow company protocols for secure database access. Proactively seeking feedback and documenting code also help maintain project alignment and code quality within a remote environment.

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

AspectRemote Python SqlRemote Data Analyst
Required SkillsPython, SQL, data manipulationData visualization, SQL, statistical analysis
Work EnvironmentRemote, programming-focusedRemote, analysis and reporting
Industry UsageTech, finance, data-driven companiesBusiness, marketing, finance
CertificationsPython, SQL certificationsData analysis, Excel, Tableau certifications

Remote Python Sql roles focus on programming, data extraction, and database management, while Remote Data Analyst positions emphasize interpreting data, creating reports, and visualizations. Both roles often require SQL skills and can be found in similar industries, but they serve different functions within data teams.

What cities near Vincentown, NJ are hiring for Remote Python Sql jobs?

Cities near Vincentown, NJ with the most Remote Python Sql job openings:

Data Engineer

Campbell's

Camden, NJ • On-site, Remote

$110K - $152K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 8 days ago


Job description

Since 1869, we've connected people through food they love. We're proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell's brand, as well as Cape Cod, Chunky, Goldfish, Kettle Brand, Lance, Late July, Pacific Foods, Pepperidge Farm, Prego, Pace, Rao's Homemade, Snack Factory, Snyder's of Hanover.Swanson, and V8.

Here, you will make a difference every day. You will be supported to build a rewarding career with opportunities to grow, innovate and inspire. Make history with us.

Why Campbell's...

  • Benefits begin on day one and include medical, dental, short and long-term disability, AD&D, and life insurance (for individual, families, and domestic partners).
  • Employees are eligible for our matching 401(k) plan and can enroll on the first day of employment with immediate vesting.
  • Campbell's offers unlimited sick time along with paid time off and holiday pay.
  • If in WHQ - free access to the fitness center. Access to on-site day care (operated by Bright Horizons) and company store.
  • Giving back to the communities where our employees work and live is very important to Campbell's. Our "Campbell's Cares" program matches employee donations and/or volunteer activity up to $1,500 annually.
  • Campbell's has a variety of Employee Resource Groups (ERGs) to support employees.

How You Will Make History Here...

As a Data Engineer, you will be an integral part of the DA & AI team, supporting the design, development, and operation of enterprise data solutions on the Azure Databricks platform. In this role, you will work closely with senior data engineers, solution architects, and business partners to build reliable data pipelines, contribute to analytics-ready data products, and grow your technical skills in a collaborative, learning-focused environment. This position is ideal for an early-career engineer looking to develop hands-on experience with modern cloud data platforms at enterprise scale.

What You Will Do

  • Collaborate with solution architects and senior data engineers to understand data solution designs supporting projects and continuous improvement initiatives.
  • Partner with business stakeholders and analysts to understand data and analytics needs, translating them into technical tasks with guidance.
  • Design, build, and maintain data pipelines in Azure Databricks for ingestion, transformation, and validation of enterprise data.
  • Integrate data from multiple source systems into the Azure data lakehouse using established frameworks and best practices.
  • Contribute to technical documentation, including data flow diagrams, pipeline documentation, and runbooks.
  • Participate in code reviews, learning and applying development standards and best practices.
  • Support software deployments across development, test, and production environments using CI/CD pipelines.
  • Assist with data quality, governance, and cataloging activities in collaboration with Security and Data Governance teams.
  • Help transition completed solutions to support teams with appropriate documentation.
  • Continuously learn new tools, patterns, and technologies in the data and analytics ecosystem.
  • Use Azure DevOps (ADO) to manage work items, track progress, and collaborate with team members.

What You Bring to the Table... (Must Have)

  • Bachelor's degree in Computer Science, Data Engineering, Data Science, or a related field.
  • 4+ years of experience in data engineering, analytics engineering, or a related role.
  • Hands-on experience or strong working knowledge of Azure Databricks, including Python and/or PySpark and Databricks SQL.
  • Familiarity with Azure Data Factory and Azure Data Lake Storage (ADLS).
  • Working knowledge of SQL for data querying and transformation.
  • Exposure to Business Intelligence tools such as Power BI.
  • Strong analytical and problem-solving skills with attention to detail.
  • Ability to learn quickly, apply feedback, and work effectively in a collaborative team environment.
  • Clear written and verbal communication skills.

Nice to Have... (Preferred)

  • Experience with CI/CD pipelines in Azure DevOps.
  • Exposure to data governance, metadata management, or data catalogs.
  • Familiarity with enterprise scheduling or orchestration tools (e.g., Stonebranch or similar).
  • Databricks or Azure certifications (completed or in progress).
  • Exposure to Snowflake or other cloud data platforms

Prefer candidate to sit in HQ in Camden, NJ but open to fully remote for the right candidate.

Compensation and Benefits:

The target base salary range for this full-time, salaried position is between

$110,900-$152,500

Individual base pay depends on work location and additional factors such as experience, job-related skills, and relevant education or training. Total pay may include other forms of compensation. In addition, we offer competitive health, dental, 401k and wellness benefits beginning on the first day of employment. Please ask your Talent Acquisition Partner for more information about our total rewards package.

The Company is committed to providing equal opportunity for employees and qualified applicants in all aspects of the employment relationship, including consideration for employment, without regard to race, color, sex, sexual orientation, gender identity, national origin, citizenship, marital status, protected veteran status, disability, age, religion, or any other classification protected by law.