ZipRecruiter

Log In

2

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

Vericast

Senior Data Engineer

San Antonio, TX · On-site +1

$130K - $150K/yr

The Senior Data Engineer will work closely with our analytics, reporting, and data science teams on data initiatives, ensuring that a consistent, optimal data delivery architecture is available ...

ISHIR

Snowflake Data Engineering Consultant

San Antonio, TX · On-site +1

$103K - $124K/yr

We are seeking an experienced Analytics/Data Engineer with strong expertise in Snowflake, SQL, dbt, Python, and dimensional data modeling, specializing in transforming complex banking and financial ...

USAA

Senior AI & Machine Learning Engineer

San Antonio, TX · On-site +1

$143K - $273K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Responsibilities include data preprocessing, model training, building APIs, and building data ...

USAA

Senior AI & Machine Learning Engineer

San Antonio, TX · On-site +1

$143K - $273K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Responsibilities include data preprocessing, model training, building APIs, and building data ...

USAA

Senior AI & Machine Learning Engineer

San Antonio, TX · On-site +1

$143K - $273K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Responsibilities include data preprocessing, model training, building APIs, and building data ...

next page

Showing results 1-20

All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Converse, TX

Remote Data Engineer information

See Converse, TX salary details

$40.4K

$117.8K

$161.2K

How much do remote data engineer jobs pay per year?

As of Aug 29, 2026, the average yearly pay for remote data engineer in Converse, TX is $117,794.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $124,900.00 per year, depending on experience, location, and employer.

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 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.

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.

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 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.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.
More about Remote Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Converse, TX?

The most popular types of Data Engineer jobs in Converse, TX are:

What job categories do people searching Remote Data Engineer jobs in Converse, TX look for?

The top searched job categories for Remote Data Engineer jobs in Converse, TX are:

What cities near Converse, TX are hiring for Remote Data Engineer jobs?

Cities near Converse, TX with the most Remote Data Engineer job openings:

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Converse, TX as of June 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $117,794 per year, or $56.6 per hour.

Senior Data Engineer

Vericast

San Antonio, TX • On-site, Remote

$130K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Vericast rating

7.5

Company rating: 7.5 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

23rd of 52 rated marketing agency

Job description

Company Description
Vericast is the financial institution (FI) performance partner. We help banks and credit unions drive growth, improve efficiency, increase engagement and navigate change through the power of data, technology and people. Our advanced analytics, data-driven insights and integrated solution set enable better execution with agility, precision and scale. That's why thousands of financial institutions look to Vericast and our 150 years of financial services expertise to help them achieve more.
Job Description
Vericast is seeking a motivated Senior Data Engineer to build big data pipelines, automate marketing campaigns, and support data requirements for our analytics, reporting, and AI applications. This role will expand our data infrastructure and pipeline architecture while optimizing data flow and collection into our Data Lake environment.
The Senior Data Engineer will work closely with our analytics, reporting, and data science teams on data initiatives, ensuring that a consistent, optimal data delivery architecture is available throughout ongoing projects. The ideal candidate is self-directed and comfortable supporting the data needs of multiple teams, systems, and products.
This role is a great fit for someone who enjoys working in an agile team environment and contributing to high-quality, data-driven marketing products in close collaboration with developers and business partners.
Key Duties & Responsibilities
  • Develop scalable data pipelines and build new integrations to support continued growth in data volume and complexity.
  • Build a robust Data Lakehouse that supports Vericast's marketing solutions business and financial institution clients, including pre-sales, campaign execution, and campaign performance analysis and benchmarking.
  • Collaborate with AI, Analytics, and business teams to improve data models that feed AI and analytics tools, increasing data accessibility and fostering data-driven decision-making across the organization.
  • Implement processes and systems to monitor data quality and ensure the availability and accuracy of production data for key stakeholders and dependent business processes.
  • Perform data analysis to troubleshoot data-related issues and support their resolution.
  • Provide post-deployment support, responding quickly to resolve unexpected production issues.
  • Partner with business units and engineering teams to shape long-term data platform architecture strategy.

Qualifications
Education
  • Bachelor's degree in Computer Science, Information Technology, or a related field, with 5+ years of relevant experience; or
  • Master's degree in Computer Science, Information Technology, or a related field (preferred).

Experience
  • 5+ years of experience in Data Engineering, ETL development, or Data Platform Engineering.
  • Experience working within a Financial Institution (FI), Banking, FinTech, MarTech, AdTech, Marketing Services, or Marketing Agency environment.
  • Experience supporting customer, campaign, audience, marketing performance, attribution, advertising, or transactional data at scale.
  • Strong experience with Python and PySpark for building production-grade data pipelines.
  • Experience designing, building, and supporting Data Lakehouse environments.
  • Experience working with Apache Airflow, Iceberg, Hive, S3, and Trino.
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Experience with Agile software development methodologies.
  • Experience with GitLab and CI/CD processes.

  • Experience supporting AI and machine learning applications.
  • Understanding of machine learning models and the data requirements needed to support Data Science teams. Preferred
  • Experience building REST APIs. Preferred

Knowledge, Skills & Abilities
  • Strong programming skills in object-oriented/functional scripting languages such as Python and PySpark for building data pipelines, with experience in testing, logging, and ensuring data observability.
  • Experience with distributed systems and parallel data processing using big data tools such as Spark, PySpark, Hadoop, Kafka, and Hive.
  • Proficiency with relational databases.
  • Strong knowledge of Linux/Unix-based systems.
  • Strong experience with Iceberg, Hive, S3, and Trino.
  • Experience building data pipelines with orchestration tools such as Apache Airflow.
  • Hands-on experience with Apache Ranger and Rancher/Kubernetes.
  • Excellent analytical, conceptual, and problem-solving skills.
  • Strong communication skills that promote cross-team collaboration.
  • Experience supporting data requirements for AI applications. (Preferred)
  • Understanding of machine learning models and algorithms, with the ability to interface with the Data Science team. (Preferred)
  • Experience building REST APIs. (Preferred)

Additional Information
Salary range: $130,000 - $150,000
Applications will be accepted until the posted deadline September 30, 2026 or until a sufficient candidate pool has been identified
The ultimate compensation offered for the position will depend upon several factors such as skill level, cost of living, experience, and responsibilities
Vericast offers a generous total rewards benefits package that includes medical, dental and vision coverage, 401K and generous PTO allowance. A wide variety of additional benefits like life insurance, employee assistance and pet insurance are also available, not to mention smart and friendly coworkers!
At Vericast, we don't just accept differences - we celebrate them, we support them, and we thrive on them for the benefit of our employees, our clients, and our community. As an Equal Opportunity employer, Vericast considers applicants for all positions without regard to race, color, creed, religion, national origin or ancestry, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, or any other classifications protected by law. Applicants who have disabilities may request that accommodations be made in order to complete the selection process by contacting our Talent Acquisition team at talentacquisition@vericast.com. EEO is the law. To review your rights under Equal Employment Opportunity please visit: www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf

What Vericast employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply