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Data Logger Jobs in Texas (NOW HIRING)

Data Engineer

Irving, TX · On-site

$109K - $132K/yr

Data Engineer (Contract)- 5 new contract openings * Location: Onsite 2 days a week * Irving, TX or ... Implement monitoring, logging, and alerting for all migration pipelines and production workloads.

Data Engineer, HIPAA

Dallas, TX · On-site

$113K - $136K/yr

Implement data quality checks, validation, and audit logging so that every movement of regulated data is traceable and defensible. * Help establish, and then support, controlled data sharing with ...

May be required to carry a testing device, data logger, hand tools and miscellaneous equipment that weigh about 15-20 lbs. The testing devices are carried in a backpack. Other tools and equipment are ...

Ability to proficiently utilize corrosion control equipment including, but not limited to, multi-meter, reference electrodes, current interrupter, pipe locator, data logger, soil resistivity box, and ...

Sr. Data Platform Engineer

Addison, TX · On-site

$135 - $145/hr

Protect PHI, PII, and other sensitive data by implementing RBAC, least-privilege access, masking, row-access policies, audit logging, lineage, and governance controls. * Establish data-quality tests ...

Data Engineer with DevOps

Dallas, TX · On-site

$52.25 - $71.50/hr

Archive & purge data; mange job dependency, logging & error handling * Strong understanding of batch processing and batch job scheduling frameworks * Experience migrating from CA7/Control M Airflow ...

Data Engineer with DevOps

Dallas, TX · On-site

$52.25 - $71.50/hr

Archive & purge data; mange job dependency, logging & error handling * Strong understanding of batch processing and batch job scheduling frameworks * Experience migrating from CA7/Control M Airflow ...

Data Engineer with DevOps

Dallas, TX · On-site

$52.25 - $71.50/hr

Archive & purge data; mange job dependency, logging & error handling * Strong understanding of batch processing and batch job scheduling frameworks * Experience migrating from CA7/Control M Airflow ...

Showing results 41-60

Data Logger information

What is a data logger?

A Data Logger is responsible for collecting, recording, and analyzing data from various sources, such as sensors, equipment, or software systems. They ensure data accuracy, troubleshoot logging systems, and maintain data storage for analysis or reporting. This role is commonly found in industries like environmental monitoring, manufacturing, and research, where precise data tracking is essential.

What are the typical daily responsibilities of a data logger?

Data Loggers are primarily responsible for accurately recording, processing, and validating data collected from various sources such as sensors, instruments, or field reports throughout the day. They ensure that data is entered into databases or spreadsheets in a timely manner, regularly monitor for errors, and may generate basic reports for supervisors or project teams. Collaboration with engineers, field technicians, or quality control staff is often required to clarify data details and maintain consistency. This role is well-suited for individuals who enjoy routine tasks, helping maintain the integrity and usefulness of organizational data.

What are the key skills and qualifications needed to thrive as a data logger, and why are they important?

To thrive as a Data Logger, you need strong attention to detail, good organizational skills, and familiarity with data entry and basic computer operations, often backed by a high school diploma or equivalent. Experience with data logging software, spreadsheets, and commonly used industry-specific data management systems is highly beneficial. Reliability, accuracy, and strong communication skills help set candidates apart in this role. These skills are critical for ensuring precise and timely documentation, which supports effective decision-making and operational efficiency.

What does a data logger do?

A data logger is a device used by data loggers to record and store environmental or system data over time, often through sensors. They are used in various fields such as manufacturing, research, and environmental monitoring, and typically require knowledge of data collection and analysis tools. Data loggers help ensure accurate, continuous data collection for analysis and decision-making.

What cities in Texas are hiring for Data Logger jobs?

Cities in Texas with the most Data Logger job openings:

Infographic showing various Data Logger job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

$109K - $132K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Data Engineer (Contract)- 5 new contract openings

  • Location: Onsite 2 days a week
    • Irving, TX or Hartford, CT - Only
  • Citizenship: Any (GC/USC will be given preference)
  • Duration: 6+ months

Data Engineer with 8+ years' experience including 2+ years on GCP, strong in Teradata, BigQuery, Dataflow, Python/Java ETL, and migrating data pipelines to cloud platforms.

We are seeking skilled Data Engineer(s) to support a high-impact enterprise data migration initiative.

The goal is to migrate data warehouse assets and ETL pipelines from Teradata to Google Cloud Platform (GCP).

The role involves hands-on development, testing, and optimization of data pipelines and warehouse structures in GCP, ensuring minimal disruption and maximum performance.

Required Skills:

  • 8 years of experience in Data Engineering, with at least 2 years in GCP.
  • Strong hands-on experience in Teradata data warehousing, BTEQ, and complex SQL.
  • Solid knowledge of GCP services: BigQuery, Dataflow, Cloud Storage, Pub/Sub, Composer, and Dataproc.
  • Experience with ETL/ELT pipelines using custom scripting tools (Python/Java).
  • Proven ability to refactor and translate legacy logic from Teradata to GCP.
  • Familiarity with CI/CD, GIT, Argo CD, and DevOps practices in cloud data environments.
  • Intangibles: Strong analytical, troubleshooting, and communication skills. Problem solving mindset, Attention to detail, Accountability and ownership

Preferred Qualifications:

  • GCP certification (Preferred: Professional Data Engineer).
  • Exposure to Apache Kafka, Cloud Functions, or AI/ML pipelines on GCP.
  • Experience working in the healthcare domain.
  • Knowledge of data governance, security, and compliance in cloud ecosystems.

Key Responsibilities:

  • Execute migration of data and ETL workflows from Teradata to GCP-based services such as BigQuery, Cloud Storage, Dataflow, Dataproc, and Composer (Airflow).
  • Analyze and map existing Teradata workloads to appropriate GCP equivalents.
  • Rewrite SQL logic, scripts, and procedures in GCP-compliant formats (e.g., standard SQL for BigQuery).
  • Collaborate with data architects and business stakeholders to define migration strategies, validate data quality, and ensure compliance.
  • Develop automated workflows for data movement and transformation using GCP-native tools and/or custom scripts (Python).
  • Optimize data storage, query performance, and costs in the cloud environment.

Implement monitoring, logging, and alerting for all migration pipelines and production workloads.