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Evening Data Engineer Jobs in Texas (NOW HIRING)

Data Engineer 1

The Woodlands, TX ยท On-site

$102K - $122K/yr

Data Engineering Supervisor Location: The Woodlands, TX Amount of Travel Required: 5-10% Work ... Work hours may include early morning, late afternoon/evening hours, and weekends in combination ...

POSITION SUMMARY:**The Principal Cloud Data Engineer is a hands-on role and will liaise with ... Flexibility to work occasional adjusted work schedules, overtime, and evening and/or weekend hours ...

The Principal Cloud Data Engineer is a hands-on role and will liaise with product org and PO/PM to ... Flexibility to work occasional adjusted work schedules, overtime, and evening and/or weekend hours ...

The Principal Cloud Data Engineer is a hands-on role and will liaise with product organd PO/PM to ... Flexibility to work occasional adjusted work schedules, overtime, and evening and/or weekend hours ...

Associate Engineer, Data Center

Richardson, TX ยท On-site

$74K - $122K/yr

This role may require working evening or overnight shifts (3:00 PM - 12:00 AM or 11:00 PM - 8:00 AM). The Associate Data Center Hardware Engineer is a hands-on technical role focused on ensuring the ...

Associate Engineer, Data Center

Richardson, TX ยท On-site

$74K - $122K/yr

This role may require working evening or overnight shifts (3:00 PM - 12:00 AM or 11:00 PM - 8:00 AM). The Associate Data Center Hardware Engineer is a hands-on technical role focused on ensuring the ...

Reporting to the Data Analytics Engineer, you will collaborate closely with Operations, Leadership ... Days and hours of work are Monday through Friday, and occasional evening and weekend work will be ...

Reporting to the Data Analytics Engineer, you will collaborate closely with Operations, Leadership ... Days and hours of work are Monday through Friday, and occasional evening and weekend work will be ...

Reporting to the Data Analytics Engineer, you will collaborate closely with Operations, Leadership ... Days and hours of work are Monday through Friday, and occasional evening and weekend work will be ...

AIA Big Data

Austin, TX ยท On-site

... and Engineering activities on multiple Hadoop Kafka Hbase and Spark clusters Work on Performance ... Incumbent must make themselves available during core business hours Occasional weekend and evening ...

Collaborate with engineering to deliver high-quality platform features and services. * Partner with ... Flexibility to work occasional adjusted work schedules, overtime, and evening and/or weekend hours ...

Collaborate with engineering to deliver high-quality platform features and services. * Partner with ... Flexibility to work occasional adjusted work schedules, overtime, and evening and/or weekend hours ...

Data Scientist

San Juan, TX ยท On-site

$95K - $135K/yr

You will sit close to the operation and to the product and engineering teams building its platform ... evening pattern nobody asked about and chases it down, shows up to the meeting with the artifact ...

GNSS Data Scientist Associate

Austin, TX ยท On-site

$88.50 - $120K/hr

Bachelor's degree in Science, Engineering, Computer Science, or related field. * Python or C/C ... Some weekend, evening and holiday work * Possible interstate/intrastate travel Equal Opportunity ...

Senior GNSS Data Scientist

Austin, TX ยท On-site

$104 - $174K/hr

Bachelor's degree in Science, Engineering, Computer Science, or related field. * Three years of ... Some weekend, evening and holiday work * Possible interstate/intrastate travel Required Materials

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Showing results 1-20

Evening Data Engineer information

See Texas salary details

$41.5K

$120.9K

$165.4K

How much do evening data engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for evening data engineer in Texas is $120,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 per year, depending on experience, location, and employer.

What is an evening data engineer?

An Evening Data Engineer is responsible for building and maintaining data pipelines, databases, and ETL processes during evening or off-peak hours. This role ensures data workflows run smoothly and efficiently, often supporting real-time analytics, data warehousing, or batch processing jobs. Working evenings may be necessary to monitor overnight data loads, troubleshoot issues, and optimize performance with minimal disruption to business operations.

What are the key skills and qualifications needed to thrive as an evening data engineer?

To thrive as an Evening Data Engineer, you need strong programming skills in SQL and Python, expertise in data modeling, ETL processes, and a relevant degree in computer science or a related field. Familiarity with data warehousing solutions, cloud platforms (such as AWS, Azure, or Google Cloud), and certifications like AWS Certified Data Analytics can be very beneficial. Effective communication, problem-solving abilities, and the flexibility to work independently during evening hours are key soft skills for this role. These competencies ensure efficient data pipeline management, reliable data delivery, and seamless collaboration with cross-functional teams despite non-traditional work hours.

What are the typical work hours and team collaboration expectations for an evening data engineer?

Evening Data Engineer roles typically require working later in the day or overnight, which helps support 24/7 business operations or enables off-hours data processing and system maintenance. While much of the technical work may be independent, regular collaboration with daytime engineering, analytics, and operations teams is essential, often facilitated through documentation, scheduled meetings, or asynchronous communication tools. You may also interact with support staff, troubleshoot production issues, and contribute to overnight data deployments. This schedule can offer greater flexibility and autonomy, but effective communication and proactive updates are important to maintain smooth handoffs between day and evening team members.

What are the most commonly searched types of Data Engineer jobs in Texas?

The most popular types of Data Engineer jobs in Texas are:

What job categories do people searching Evening Data Engineer jobs in Texas look for?

The top searched job categories for Evening Data Engineer jobs in Texas are:

What cities in Texas are hiring for Evening Data Engineer jobs?

Cities in Texas with the most Evening Data Engineer job openings:

Infographic showing various Evening Data Engineer job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, 4% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $120,851 per year, or $58.1 per hour.

Data Engineer 1

The Woodlands, TX โ€ข On-site

Beusa Energy Group
11 - 50 employees

$102K - $122K/yr

Other

Posted 29 days ago


Job description

Job Details

Level: ExperiencedJob Location: Beusa The Woodlands Corporate Office Six Pines - The Woodlands, TX 77380Position Type: Full TimeEducation Level: 4 Year DegreeTravel Percentage: up to 10%Job Shift: DayData Engineer

Job Description

Department: Data Technology

Job Status: Full-Time

FLSA Status: Salary-Exempt

Reports To: Data Engineering Supervisor

Location: The Woodlands, TX

Amount of Travel Required: 5-10%

Work Schedule: Monday-Friday, 8 a.m.-5 p.m.

Positions Supervised: None

AIP Level: 7

ESSENTIAL FUNCTIONS

(The following duties and responsibilities are all essential job functions, as defined by the ADA, except for those that begin with the word "may".)

  • Build and operate Lakehouse pipelines on Databricks (Bronze/Silver/Gold) using Delta Lake, Delta Live Tables (DLT), and/or Jobs.
  • Own ingestion patterns (Autoloader, CDC, streaming) optimization
  • Own data modeling, quality checks, and performance optimization.
  • Own performance optimization - profile and tune Spark/SQL workloads: partitioning, clustering, constraints, liquid clustering (if applicable), manage table health.
  • Engineer Delta tables for speed and cost: partitioning, Z-Ordering or clustering, constraints, file sizing; manage table health with Auto Optimize, OPTIMIZE, and VACUUM.
  • Implement incremental processing patterns (MERGE with Change Data Feed, APPLY CHANGES INTO) with idempotency and exactly-once delivery.
  • Partner with data consumers to deliver reliable, well-documented datasets with clear SLAs.
  • Design, build, and implement interactive dashboards and reports using Power BIand other visualization tools.
  • Collaborate with business units (Operations, Field Engineers, Assets) to gather requirements and translate them into technical solutions.
  • Develop and maintain data models, ensuring data quality and integrity.
  • Integrate data from multiple sources, including real-time field equipment and sensors.
  • Continuously evaluate and adopt new data management and analytics technologies.
  • Educate and support stakeholders on data tools and best practices.
  • Advocate for Beusa's digital transformation and data-driven decision-making.
  • Engage with technology vendors and partners as needed.
  • Occasional travel to meet with stakeholders.
  • Perform other related duties as assigned to assist with successful operations and business continuity.
QualificationsPOSITION REQUIREMENTS
  • Must be legally authorized to work in the United States without the need for sponsorship.
  • Must be at least 18 years of age or older.
  • Successfully passesall applicablegeneral pre-employmenttesting including but not limitedto:background check, pre-employment drug screening,pre-employment fit tests,pre-employment aptitudeand/or competency assessment(s).
  • Valid U.S. Driverโ€™s Licenserequired.Most employment is contingent upon meeting company driving standards, including3-yearU.S. driving history andan acceptable Motor Vehicle Record (MVR)in accordance withCompany policy.
  • Dailyin person, predictable attendancein The Woodlands, TX.
EDUCATION/EXPERIENCE LEVEL
  • Bachelor's degree in MIS, Computer Science, Engineering, IT, or related field.An equivalent combination of education, specialized training, and relevant professional experience will be considered in lieu of a formal degree.
  • 3-5+ years of experience in a data-focused role (Business Intelligence, Data Analysis, Data Management, etc.).
QUALIFICATIONS, SKILLS, COMPETENCIES, AND ABILITIES
  • Experience with Databricks Data Engineering, including Delta Live Tables (DLT).
  • Strong PySpark/SparkSQL experience.
  • Advanced SQL skills and experience with relational databases (Microsoft SQL Server preferred).
  • Familiarity with Databricks Medallion architecture.
  • Proficiency in Power BI (preferred), Tableau, Spotfire, or Sigma
  • Experience with dashboard creation, and data visualization best practices.
  • Ability to manage multiple projects and adapt to changing priorities.
  • Strong analytical, problem-solving, and communication skills.
  • Knowledge of data cleansing and preparation for analytics.
  • Ability to explain complex technical concepts to non-technical users.
  • Experience working in cross-functional teams.
PHYSCIAL REQUIREMENTS/WORK ENVIRONMENT

Frequently required to walk, sit, climb, bend, reach and squat/kneel. The Business Intelligence Developer works primarily indoors and will be sitting prolonged periods of sitting at a desk and working on a computer. Must be able to access and navigate each department at the organization's facilities. The Business Intelligence Developer may be required to lift heavy objects; therefore, The Business IntelligenceDeveloper must be able to lift 25lbs.

Work hours may include early morning, late afternoon/evening hours, and weekends in combination depending on job demands.

The Company is committed to the cause of equal employment opportunity for all employees and applicants, thus abiding by all applicable state and federal laws. Our practices regarding employment, job promotion, compensation, training, and termination do not discriminate on the basis of race, color, religious creed, age, sex, national origin, veteran's status, disability, pregnancy, genetic information, or any other legally protected status. It is expected that al I employees, both management and staff, will fully support these nondiscriminatory policies.

The company has reviewed this job description to ensure essential functions and duties have been included. It is not intended to be an exhaustive list of all functions, responsibilities, skills, and abilities.

Revised: 08/2026

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