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Data Operations Associate Jobs in Converse, TX (NOW HIRING)

ASM Research

Data Engineer Journeyman

San Antonio, TX · On-site

$98K - $118K/yr

Document data architectures, pipeline designs, and operational procedures, and contribute to data ... Engineer Associate, or equivalent). * Experience automating CI/CD for data pipelines and ...

GRVTY

Data Scientist 3

San Antonio, TX · On-site

Associate's degree plus 12 years' experience may be considered for individuals with in-depth ... Our growing capabilities create complementary advantages, giving on-the-ground operations the edge ...

GRVTY

Data Scientist 3

San Antonio, TX · On-site

Associate's degree plus 12 years' experience may be considered for individuals with in-depth ... Our growing capabilities create complementary advantages, giving on-the-ground operations the edge ...

Pwc

Data Engineer - Senior Manager

San Antonio, TX

$124K - $280K/yr

As a Senior Manager you lead large projects, innovate processes, and maintain operational ... Associate] is a plus - Designing and implementing thorough data architecture strategies ...

OfficeAlly Inc.

Corporate Counsel

San Antonio, TX · On-site

$120 - $160/hr

... associate. * Advise on PHI handling, use, disclosure, and de‑identification across Office Ally's products and data operations. * Support the company's HIPAA compliance program, including policy ...

Pwc

Data Strategy-Manager

San Antonio, TX · On-site

$99K - $232K/yr

They utilise advanced analytics techniques to help clients optimise their operations and achieve ... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks ...

Pwc

Data Governance- Manager

San Antonio, TX · On-site

$99K - $232K/yr

They utilise advanced analytics techniques to help clients optimise their operations and achieve ... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks ...

BCforward

Data entry Operator

San Antonio, TX · On-site

... Operations metrics: Key Activities: 'Review list of needed parts and determine what parts are ... Associates degree or 2 years experience data entry with complex processes Minimum of 1years of ...

Arby's

ASSOCIATE MGR

Universal City, TX · On-site

Skills: The required skills enable the Associate Manager to effectively oversee daily operations, communicate clearly with team members and stakeholders, and analyze performance data to drive ...

Arby's

ASSOCIATE MGR

San Antonio, TX · On-site

Skills: The required skills enable the Associate Manager to effectively oversee daily operations, communicate clearly with team members and stakeholders, and analyze performance data to drive ...

Arby's

ASSOCIATE MGR

San Antonio, TX · On-site

Skills: The required skills enable the Associate Manager to effectively oversee daily operations, communicate clearly with team members and stakeholders, and analyze performance data to drive ...

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All JobsData Operations Associate JobsData Operations Associate Jobs in Converse, TX

Data Operations Associate information

See Converse, TX salary details

$10

$23

$48

How much do data operations associate jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for data operations associate in Converse, TX is $23.83, according to ZipRecruiter salary data. Most workers in this role earn between $16.15 and $27.50 per hour, depending on experience, location, and employer.

What does a data operations associate do?

A Data Operations Associate is responsible for managing and maintaining the flow of data within an organization. They ensure data is collected, processed, and stored accurately, supporting data integrity and availability for business needs. Their duties often include monitoring data pipelines, troubleshooting data issues, and collaborating with teams to improve data processes. This role is critical in ensuring that reliable data is accessible for analytics, reporting, and decision-making.

What are the key skills and qualifications needed to thrive as a data operations associate?

To thrive as a Data Operations Associate, you need strong analytical skills, attention to detail, and a solid understanding of data management principles, often supported by a degree in information systems, computer science, or a related field. Familiarity with data processing tools, database management systems (such as SQL), and platforms like Excel or BI tools is typically required. Excellent problem-solving abilities, communication skills, and organizational aptitude help you coordinate with teams and ensure data accuracy. These competencies are essential for maintaining data integrity, enabling efficient workflows, and supporting informed business decisions.

What are some typical challenges faced by data operations associates when managing large datasets across multiple platforms?

Data Operations Associates often encounter challenges such as ensuring data consistency and accuracy when integrating information from different sources. Managing data pipelines and troubleshooting data flow issues can be complex, especially as organizations scale and adopt new technologies. Collaborating with data engineers, analysts, and IT teams is essential for resolving discrepancies and maintaining the reliability of data systems. Regularly updating documentation and staying current with best practices in data governance helps address these challenges effectively.

What is the difference between Data Operations Associate vs Data Analyst?

AspectData Operations AssociateData Analyst
Primary FocusData management, processing, and ensuring data qualityAnalyzing data to generate insights and reports
Skills & CertificationsData management tools, basic SQL, attention to data accuracyData analysis, visualization, SQL, statistical skills
Work EnvironmentData teams, operations departments, often in tech or financeBusiness units, analytics teams, consulting firms

While both roles involve working with data, the Data Operations Associate primarily handles data management and quality assurance, whereas the Data Analyst focuses on analyzing data to inform business decisions. The roles often collaborate but serve different functions within organizations.

What job categories do people searching Data Operations Associate jobs in Converse, TX look for?

The top searched job categories for Data Operations Associate jobs in Converse, TX are:

What cities near Converse, TX are hiring for Data Operations Associate jobs?

Cities near Converse, TX with the most Data Operations Associate job openings:

Data Operations Associate jobs near you

Data Engineer Journeyman

ASM Research

San Antonio, TX • On-site

$98K - $118K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

ASM Research rating

8.6

Company rating: 8.6 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

34th of 225 rated it services

Job description

The Data Engineer Journeyman designs, builds, and operates scalable data pipelines and platforms that ingest, process, and store structured and unstructured data to support mission-critical use across the enterprise data environment. Leveraging modern batch and streaming frameworks, this role develops optimized data models, transformation logic, and storage solutions that enable analytics, reporting, and advanced data use cases for business and technical stakeholders. The Data Engineer Journeyman also implements data quality, lineage, and governance practices while ensuring security and compliance in a highly regulated federal data context.
This position collaborates with cross-functional teams-including data scientists, analysts, and security stakeholders-to understand data requirements, refine data workflows, and continuously improve platform reliability, performance, and resilience. The engineer troubleshoots pipeline issues, documents data architecture and pipelines, and contributes to ongoing modernization and automation of data engineering processes and tooling across the client environment.
Key Responsibilities
  • Design, develop, and maintain batch and streaming data pipelines using frameworks such as Apache Spark, Kafka, or equivalent cloud-native services to support high-volume ingestion and processing for mission-critical workloads.
  • Build and optimize data models and schemas (including star, snowflake, and normalized designs) that support analytical, reporting, and operational use cases across the enterprise.
  • Implement data validation, profiling, and monitoring capabilities to ensure high data quality, integrity, and reliability across all stages of the data pipeline lifecycle.
  • Design, deploy, and tune scalable storage platforms such as data lakes and data warehouses, employing partitioning, indexing, and compression strategies to improve performance and cost efficiency.
  • Establish and maintain metadata management and data lineage tracking using catalog and governance tools to provide transparency, auditability, and regulatory compliance for data assets.
  • Apply secure data engineering practices, including encryption, role-based access controls, and adherence to government data standards and policies in a highly regulated environment.
  • Automate CI/CD workflows for data pipelines and related infrastructure using tools such as Git, Terraform, and containerization technologies to enable repeatable, reliable deployments.
  • Troubleshoot and resolve pipeline failures, latency issues, and performance bottlenecks in distributed computing environments, driving root cause analysis and long-term remediation.
  • Collaborate with data scientists, analysts, and business stakeholders to understand data requirements, refine transformation logic, and ensure that data products meet analytical and operational needs.
  • Document data architectures, pipeline designs, and operational procedures, and contribute to data governance activities and continuous improvement of data engineering standards and practices.

Required Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a closely related field, or equivalent relevant experience.
  • Typically 2-5 years of professional experience in data engineering or a closely related field, including hands-on work with data pipelines, data models, and distributed data processing.
  • Demonstrated experience building and operating batch and/or streaming data pipelines using modern frameworks (e.g., Apache Spark, Kafka) or cloud-native equivalents.
  • Experience designing and implementing relational and analytical data models, including star, snowflake, and normalized schemas, in support of reporting and analytics.
  • Practical experience implementing data quality controls, validation, and monitoring, as well as using metadata and catalog tools to manage data assets and lineage.
  • Demonstrated ability to apply secure data engineering practices, including encryption, access control, and compliance with government or enterprise security standards.
  • Ability to obtain and maintain a SECRET-level security clearance and work in a U.S.-only staffing context, with U.S. citizenship required.
  • Willingness and ability to work effectively in a remote, distributed team environment supporting federal or enterprise IT operations.

Preferred Qualifications
  • Experience with one or more major cloud platforms (AWS, Azure, or Google Cloud) and their native data engineering services (e.g., AWS Glue, Azure Data Factory, BigQuery, or similar).
  • Familiarity with data governance frameworks and regulatory compliance requirements applicable to federal or highly regulated environments.
  • Relevant data engineering or cloud certifications (e.g., AWS Certified Data Analytics, Azure Data Engineer Associate, or equivalent).
  • Experience automating CI/CD for data pipelines and infrastructure using Terraform, Git-based workflows, and containerization/orchestration technologies.

Compensation Ranges
Compensation ranges for ASM Research positions vary depending on multiple factors; including but not limited to, location, skill set, level of education, certifications, client requirements, contract-specific affordability, government clearance and investigation level, and years of experience. The compensation displayed for this role is a general guideline based on these factors and is unique to each role. Monetary compensation is one component of ASM's overall compensation and benefits package for employees.
EEO Requirements
It is the policy of ASM that an individual's race, color, religion, sex, disability, age, sexual orientation or national origin are not and will not be considered in any personnel or management decisions. We affirm our commitment to these fundamental policies.
All recruiting, hiring, training, and promoting for all job classifications is done without regard to race, color, religion, sex, disability, or age. All decisions on employment are made to abide by the principle of equal employment.
Physical Requirements
The physical requirements described in "Knowledge, Skills and Abilities" above are representative of those which must be met by an employee to successfully perform the primary functions of this job. (For example, "light office duties' or "lifting up to 50 pounds" or "some travel" required.) Reasonable accommodations may be made to enable individuals with qualifying disabilities, who are otherwise qualified, to perform the primary functions.
Disclaimer
The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job.

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