ZipRecruiter

Log In

1

Data Engineer Data Analyst Jobs in Laredo, TX (NOW HIRING)

Bespoke Labs

Data Engineer

Laredo, TX · On-site

$98K - $117K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Element Materials Technology

Data Processor

Laredo, TX · On-site

Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ... Instruct, supervise, manage, and monitor site personnel ensuring data processing, review , analysis ...

FocusKPI

Marketing Operations Analyst

Laredo, TX · On-site

Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate data from various sources into the customer data platform (CDP) for comprehensive analysis.

Danaher

Digital Analyst Internships

Laredo, TX · On-site

$84K - $99K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Aperia Technologies

Solutions Engineer, Remote

Laredo, TX · On-site

$120K - $140K/yr

Analyze pilot data and algorithm behavior to validate customer use cases and ensure technical ... A degree in Engineering, Business administration or related field required. * 3+ years of ...

Killam Oil Co LTD

Reservoir Engineer

Laredo, TX

Strong database management and data analytical skills. * Excellent analytical, problem-solving, and communication skills. * Ability to work collaboratively in a multidisciplinary environment.

Killam Oil Co LTD

Reservoir Engineer

Laredo, TX

Strong database management and data analytical skills. * Excellent analytical, problem-solving, and communication skills. * Ability to work collaboratively in a multidisciplinary environment.

Killam Companies

Reservoir Engineer

Laredo, TX · On-site

Strong database management and data analytical skills. * Excellent analytical, problem-solving, and communication skills. * Ability to work collaboratively in a multidisciplinary environment.

Enterprise

Entegral Financial Analyst

Laredo, TX · On-site

$75K - $90K/yr

Collaborate with product and engineering teams to optimize data structures and standards for data ingestion * Query and analyze large datasets (using SQL) to uncover hidden trends, patterns, and root ...

HK Global Trading Ltd

Budget Analyst

Laredo, TX · On-site

... Engineering, Architecture, or a related field preferred. * Experience in budgeting, estimating ... Ability to work with large amounts of data and financial information. * Comfortable collaborating ...

GFT.

Staff Engineer, Construction Services

Laredo, TX

... analysis, and field issue resolution. In this capacity, you will be responsible for the following ... Collect engineering data at project sites, including field measurements, quantities, production ...

GFT.

Staff Engineer, Construction Services

Laredo, TX

... analysis, and field issue resolution. In this capacity, you will be responsible for the following ... Collect engineering data at project sites, including field measurements, quantities, production ...

GFT.

Staff Engineer, Construction Services

Laredo, TX · On-site

... analysis, and field issue resolution. In this capacity, you will be responsible for the following ... Collect engineering data at project sites, including field measurements, quantities, production ...

next page

Showing results 1-20

All JobsData Engineer Data Analyst JobsData Engineer Data Analyst Jobs in Laredo, TX

Data Engineer Data Analyst information

See Laredo, TX salary details

$29.8K

$72.5K

$119.4K

How much do data engineer data analyst jobs pay per year?

As of Aug 1, 2026, the average yearly pay for data engineer data analyst in Laredo, TX is $72,542.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,900.00 and $85,100.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, big data tools, and strong programming knowledge 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 expertise, leadership roles, and sometimes stock options or bonuses.

How do Data Engineer Data Analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

Is a data engineer the same as a data analyst?

A data engineer designs, builds, and maintains data pipelines and infrastructure, focusing on data collection and storage. A data analyst interprets and analyzes data to generate insights and reports. While both roles work with data, they have different skill sets and responsibilities, often requiring knowledge of tools like SQL, Python, or cloud platforms.

What pays more, a data engineer or a data analyst?

Data engineers typically earn higher salaries than data analysts due to their advanced skills in building data pipelines, working with big data tools, and managing infrastructure. While salaries vary by experience and location, data engineering roles often require knowledge of programming languages like Python or Java and cloud platforms, which contribute to higher compensation.

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

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What does a data engineer analyst do?

A data engineer analyst designs, builds, and maintains data pipelines and infrastructure to collect, store, and process large datasets. They work with tools like SQL, Python, and cloud platforms to ensure data quality and accessibility for analysis, often collaborating with data scientists and business teams.

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

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

What are popular job titles related to Data Engineer Data Analyst jobs in Laredo, TX? For Data Engineer Data Analyst jobs in Laredo, TX, the most frequently searched job titles are:
What job categories do people searching Data Engineer Data Analyst jobs in Laredo, TX look for? The top searched job categories for Data Engineer Data Analyst jobs in Laredo, TX are:
What cities near Laredo, TX are hiring for Data Engineer Data Analyst jobs? Cities near Laredo, TX with the most Data Engineer Data Analyst job openings:
Data Engineer Data Analyst jobs near you
Infographic showing various Data Engineer Data Analyst job openings in Laredo, TX as of July 2026, with employment types broken down into 29% Full Time, and 71% Part Time. Highlights an 100% In-person job distribution, with an average salary of $72,542 per year, or $34.9 per hour.

Data Engineer

Bespoke Labs

Laredo, TX • On-site

$98K - $117K/yr

Full-time

Re-posted 15 days ago

Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of data engineering experience — pipelines, ETL, data modeling in production or research settings

Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools)

Familiarity with at least one RL framework (Gymnasium / OpenAI Gym, dm_env, or equivalent) and working knowledge of RL environment structure — observation/action spaces, reward signals, episode logic

Experience with data versioning and experiment tracking (DVC, MLflow, W&B, or similar)

Comfortable with Docker and cloud infrastructure (AWS or GCP)

Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Apply