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Remote Data Engineer Jobs in Addison, TX (NOW HIRING)

Data Engineer

Dallas, TX · Remote

$113K - $136K/yr

Remote/Hybrid- only from Raleigh, NC | Phoenix, AZ | Dallas, TX Duration: Full Time • Hands-on experience in building robust metadata-driven, automated data pipeline solutions leveraging modern ...

Jr Data Engineer

Addison, TX · On-site +1

$110K - $133K/yr

This is a remote position with a preference to candidates in the Central and Eastern time zones. _____ Whatyou'llaccomplishwith us As a Junior Data Engineer,you'llbe at the core of our mission. Here ...

Data Engineer

Dallas, TX · On-site +1

$115K - $130K/yr

As a Data Engineer, you will be part of a talented team of engineers responsible for the deployment and configuration of cloud resources to meet individual client business needs in AWS. Client ...

As a Data Engineer, you will be part of a talented team of engineers responsible for the deployment and configuration of cloud resources to meet individual client business needs in AWS. Client ...

Data Engineer

Dallas, TX · Remote

$117K - $140K/yr

Develop and promote best practices in data engineering, data modeling, and pipeline design * Conduct data profiling and support testing efforts in partnership with QA and DevOps teams Qualifications ...

Remote (Needs to travel to client site when required with your own expenses) Duration: Long term contract Job Summary: We're looking for a dynamic data engineer with Apache Spark and AWS experience ...

Senior Data Engineer

Dallas, TX · Remote

$69K - $99K/yr

Summary The Data Engineer will be responsable on designing, developing, and maintaining scalable ... United States remote opportunity * Video cameras must be used during all interviews, as well as ...

Senior Data Engineer

Dallas, TX · Remote

$105K - $143K/yr

Job Title-Senior Data Engineer Location ... Remote Duration: 6 Months Contract to Hire (Quarterly Onsite for a few days in Dallas TX) About ...

Senior Data Engineer -Azure

Dallas, TX · Remote

$105K - $143K/yr

Role- Senior Data Engineer -Azure Location- Remote Experience: 8-12 Years Role Summary Seeking a Senior Data Engineer with strong API and Azure experience to design scalable data platforms, develop ...

Lead Data Engineer

Irving, TX · On-site +1

$109K - $132K/yr

Within COO Technology, Wells Fargo is seeking a Lead Data Engineer to help shape and scale our ... Hybrid schedule (3 days in office, 2 days remote) * Work Transparently: You always deal in an ...

Lead Data Engineer

Irving, TX · On-site +1

$109K - $132K/yr

Within COO Technology, Wells Fargo is seeking a Lead Data Engineer to help shape and scale our ... Hybrid schedule (3 days in office, 2 days remote) * Work Transparently: You always deal in an ...

SR Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

This position is remote but may follow a hybrid schedule for candidates located within 60 miles of ... Mentor junior data engineers, providing technical guidance, code reviews, and best practices ...

SR Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

This position is remote but may follow a hybrid schedule for candidates located within 60 miles of ... Mentor junior data engineers, providing technical guidance, code reviews, and best practices ...

Data Bricks Data Engineer

Plano, TX · Remote

$120K - $150K/yr

Data Bricks Data Engineer Location: Seattle, WA / Bellevue, WA / Everett, WA / Renton, WA ... management, remote backends). * Proven experience working on Databricks platform operations ...

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Remote Data Engineer information

See Addison, TX salary details

$43.1K

$125.6K

$171.8K

How much do remote data engineer jobs pay per year?

As of Jun 15, 2026, the average yearly pay for remote data engineer in Addison, TX is $125,573.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,800.00 and $133,100.00 per year, depending on experience, location, and employer.

What Does a Remote Data Engineer Do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

Can a data engineer work remotely?

Yes, data engineers can work remotely, especially as many companies adopt flexible work arrangements. Remote data engineering roles often require strong skills in cloud platforms, data pipelines, and collaboration tools, and may involve regular virtual communication with teams. The feasibility depends on the company's policies and the specific job requirements.

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines and infrastructure that require human oversight and expertise. Instead, AI tools can augment their work by automating routine tasks, allowing data engineers to focus on complex problem-solving and system architecture. Skills in programming, cloud platforms, and data management remain essential for the role.

What is the difference between Remote Data Engineer vs Remote Data Analyst?

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

How do remote Data Engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is a Remote Data Engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

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

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data infrastructure.

How to make $1000 a week remote?

A remote data engineer can earn $1000 or more per week by working full-time for a company, freelancing on project-based platforms, or offering specialized skills such as data pipeline development, cloud computing, or machine learning. Building a strong portfolio, gaining relevant certifications, and mastering tools like SQL, Python, and cloud services can increase earning potential.
What are the most commonly searched types of Data Engineer jobs in Addison, TX? The most popular types of Data Engineer jobs in Addison, TX are:
What are popular job titles related to Remote Data Engineer jobs in Addison, TX? For Remote Data Engineer jobs in Addison, TX, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Addison, TX look for? The top searched job categories for Remote Data Engineer jobs in Addison, TX are:
What cities near Addison, TX are hiring for Remote Data Engineer jobs? Cities near Addison, TX with the most Remote Data Engineer job openings:
Data Engineer

$113K - $136K/yr

Other

Posted 8 days ago


Job description

Data Engineer

Location: Remote/Hybrid- only from Raleigh, NC | Phoenix, AZ | Dallas, TX

Duration: Full Time

Job Description:

• Hands-on experience in building robust metadata-driven, automated data pipeline solutions leveraging modern cloud-based data technologies, tools for large data platforms.

• Hands-on experience leveraging data security, governance methodologies meeting data compliance requirements.

• Experience building automated ELT data pipelines, snowpipe frameworks leveraging Qlik Replicate, DBT Cloud, snowflake with CICD.

• Hands-on experience building data integrity solutions across multiple data sources and targets like SQL Server, Oracle, Mainframe-DB2, files, Snowflake.

• Experience working with various structured & semi-structured data files - CSV, fixed width, JSON, XML, Excel, and mainframe VSAM.

• Experience using S3, Lambda, SQS, SNS, Glue, RDS AWS services.

• Proficiency in Python, Pyspark, advanced SQL for ingestion frameworks and automation.

• Hands-on data orchestration experience using DBT cloud, Astronomer Airflow.

• Experience in implementing logging, monitoring, alerting, observability, performance tuning techniques.

• Implement and maintain sensitive data protection strategies – tokenization, snowflake data masking policies, dynamic & conditional masking, and role based masking rules.

• Strong experience designing, implementing RBAC, data access controls, adopting governance standards across Snowflake and supporting systems.

• Strong experience in adopting release management guidelines, code deployment to various environments, implementing disaster recovery strategies, leading production activities.

• Experience implementing schema drift detection and schema evolution patterns.

• Must have one or more certifications in the relevant technology fields.

• Nice to have Financial banking experience,Roles & Responsibilities

• Data Pipelines - Design, develop, and maintain data pipelines for efficient data processing and integration for real-time and batch-processing. Implement and optimize ETL processes to extract, load, transform and integrate data from various sources. Enhance data flows and storage solutions for improved performance

• Data Warehousing - Design and implement data warehouse structures. Ensure data quality and consistency within the data warehouse. Apply data modeling techniques for efficient data storage and retrieval

• Data Governance, Quality & Compliance - Implement data governance policies and procedures. Implement data quality frameworks, standards and documentation. Ensure compliance with relevant data regulations and standards

• Security & Access Management - Implement data security measures and access controls. Maintain data protection protocols

• Performance Optimization and Troubleshooting - Analyze and optimize system performance for large-scale data operations. Troubleshoot data issues and implement robust solutions

• Testing & Automation – Write unit test cases, validate the data integrity & consistency requirements, adopt automated data pipelines using GitLab, Github, CICD tools.

• Code Deployment & Release Management - Adopt release management processes to promote code deployment to various environments including production, disaster recovery, and support activities.

• Cross-Functional Collaboration - Collaborate with data scientists, analysts, and other teams to understand and meet data requirements. Participate in cross-functional projects to support data-driven initiatives


Jconnect Infotech logo

About Jconnect Infotech

Sourced by ZipRecruiter

Jconnect Infotech is an esteemed corporation that operates within the Information Technology sector based in Noida, Uttar Pradesh, India. As a technology-driven firm, it offers various services such as IT Solutions, Software Development, Staffing Solutions and Management Consulting to businesses globally. Established as a pivotal player in its field, Jconnect Infotech was founded on the principles of delivering optimal solutions and promoting technological advancement within various industries. Their mission is to deliver innovative, cost-effective solutions and services to clients while maintaining their core values of integrity, excellence, and customer satisfaction.

Industry

Specialized design services

Company size

201 - 500 Employees

Headquarters location

Noida, Uttar Pradesh, in

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