Data Engineer Salary at Deep Well Services BETA

How much does a Deep Well Services Data Engineer make?

As of April 2025, the average annual salary for a Data Engineer at Deep Well Services is $136,703, which translates to approximately $66 per hour. Salaries for Data Engineer at Deep Well Services typically range from $123,903 to $147,377, reflecting the diverse roles within the company.

It's essential to understand that salaries can vary significantly based on factors such as geographic location, departmental budget, and individual qualifications. Key determinants include years of experience, specific skill sets, educational background, and relevant certifications. For a more tailored salary estimate, consider these variables when evaluating compensation for this role.

DISCLAIMER: The salary range presented here is an estimation that has been derived from our proprietary algorithm. It should be noted that this range does not originate from the company's factual payroll records or survey data.

Deep Well Services Overview

Website:
deepwellservices.com
Size:
500 - 1,000 Employees
Revenue:
$500M - $1B
Industry:
Energy & Utilities

Deep Well Services maintains state-of-the-art equipment with the latest in technology, and boasts one of the newest fleets in the industry. Our ability to successfully complete record-breaking laterals, high-pressure well interventions & complex fishing/completion programs gives us an edge over other snubbing companies in North America. Deep Well Services is the only Snubbing company in North America to have API Q2 certification.

See similar companies related to Deep Well Services

What Skills Does a person Need at Deep Well Services?

At Deep Well Services, specify the abilities and skills that a person needs in order to carry out the specified job duties. Each competency has five to ten behavioral assertions that can be observed, each with a corresponding performance level (from one to five) that is required for a particular job.

  1. SQL: Structured Query Language) is a domain-specific language used in programming and designed for managing data held in a relational database management system (RDBMS), or for stream processing in a relational data stream management system (RDSMS).
  2. Python: Applying the concepts and algorithms of Python to design, develop and maintain software applications to comply with business requirements.
  3. Data engineering: Data engineering is the practice of designing and building systems for collecting, storing, and analyzing data at scale
  4. AWS: Amazon Web Services, Inc. is a subsidiary of Amazon that provides on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered pay-as-you-go basis.
  5. Big Data: Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many cases (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. Big data was originally associated with three key concepts: volume, variety, and velocity. Other concepts later attributed to big data are veracity (i.e., how much noise is in the data) and value. Current usage of the term big data tends to refer to the use of predictive analytics, user behavior analytics, or certain other advanced data analytics methods that extract value from data, and seldom to a particular size of data set. "There is little doubt that the quantities of data now available are indeed large, but that's not the most relevant characteristic of this new data ecosystem." Analysis of data sets can find new correlations to "spot business trends, prevent diseases, combat crime and so on." Scientists, business executives, practitioners of medicine, advertising and governments alike regularly meet difficulties with large data-sets in areas including Internet searches, fintech, urban informatics, and business informatics. Scientists encounter limitations in e-Science work, including meteorology, genomics, connectomics, complex physics simulations, biology and environmental research.

Related Jobs

eNGINE
Pittsburgh , PA

eNGINE builds Technical Teams. We are a Solutions and Placement firm shaped by decades of interaction with Technical professionals. Our inspiration is continuous learning and engagement with the markets we serve, the talent we represent, and the teams we build. Our Consulting Workforce is encouraged to enjoy career fulfillment in the form of challenging projects, schedule flexibility, and paid training/certifications. Successful outcomes start and finish with eNGINE. eNGINE is hiring for a Data Engineer, who will be designing, developing and implementing an enterprise Azure Cloud platform. Overall responsibility will be to deliver scalable data solutions, high performance data pipelines, ETL optimization, as well as, develop and maintain data models and schemas, that support analysis, reporting and processing of large data sets. Position Requirements: B S Degree in IT or related field 3+ years experience with Azure Cloud techologies: Data Factory, Data Bricks, Data Lake Storage Strong


Sponsored
4/26/2025 12:00:00 AM
Form Energy
Weirton , WV

Are you ready to build America's energy future? Form Energy is an American manufacturing and energy technology company. We're revolutionizing energy storage with cost-effective, multi-day technology designed to keep the electric grid secure and reliable, even during extended periods of stress. By strengthening the electric system and reimagining what's possible, we're giving clean energy a whole new form! In recent years, Form Energy has earned a number of accolades, including being named by TIME as a "Best Invention", MIT Technology Review as a "Top Climate Tech Company To Watch", and Fast Company as "One of the Next Big Things In Tech". We are making rapid progress on our mission of delivering energy storage for a better world, and our team is growing just as rapidly to meet demand. We have signed contracts with leading electric utilities across the United States. Trial production of our iron-air batteries has already begun, and this year, production will take off to high volumes at


Sponsored
4/26/2025 12:00:00 AM
Prequel Solutions
Warrendale , PA

Job Description: Our client is looking for a mid-level Data Engineer to assist in the design, build and maintenance of their cloud environment. Key Responsibilities: Primary Responsibilities Data Engineering (80%) Design, build, and maintain robust, scalable data pipelines using Databricks on cloud platforms (e.g., Azure or AWS). Develop and manage data models that support analytics, reporting, and operational use cases. Implement best practices for data lake architecture, ensuring high availability, performance, and data quality. Collaborate with analysts, data scientists, and business stakeholders to understand data requirements and deliver high-impact solutions. Automate data ingestion, transformation, and loading processes (ETL/ELT) using modern orchestration tools. Optimize and monitor pipeline performance and troubleshoot data-related issues proactively. Ensure compliance with data governance and security standards. Secondary Responsibilities Cloud Data Environment Support (20%)


Sponsored
4/23/2025 12:00:00 AM
Buchanan Ingersoll and Rooney PC
Pittsburgh , PA

Azure Data Engineer Buchanan Ingersoll & Rooney is a national law firm with a proven reputation for providing progressive, industry-leading legal, business, regulatory, and government relations advice to our regional, national, and international clients. We are currently seeking an Azure Data Engineer with strong experience in Databricks to support our IT Department in Pittsburgh. The Azure Data Engineer will be responsible for designing, developing, and implementing data solutions on the Firm's Azure Cloud platform, with a particular emphasis on leveraging Databricks for data processing and analytics. This role is crucial for architecting and building scalable, high-performance data pipelines that ensure efficient extraction, transformation, and loading of data from various sources into the Firm's Azure enterprise cloud data storage solutions. The ideal candidate will possess robust data engineering and database architecture skills, proficiency in programming languages, and a deep und


Sponsored
4/23/2025 12:00:00 AM
Confidential
Pittsburgh , PA

PPG Industries, Inc., headquartered in Pittsburgh, PA, has a work-at-home Data Engineer Analyst position (w/ability to telecommute w/approp. telecommuting sys.; remote worksite must be w/in commuting distance of Pittsburgh, PA for weekly trips to corp. office) responsible for developing & building AI/ML model-ready data ponds. Apply online at careers.ppg.com. - - - - - - - - - - - - - - - - - - - - - -- - - - - - - - - - -- - - - - - - - - - -- - - - - - - - - - -- - - - - - - - - - -- - - - - - - - - - -- - - - - - - - - - -- - - - - - - - - - -- - - - - - - - - - -- - - - - - - - - - -- - - - - - - - - - -- - - - - - - - - - - recblid g46v485k877cmh5cvz3peq5pddlixz


Sponsored
4/23/2025 12:00:00 AM
Diverse Lynx
Pittsburgh , PA

AWS services: EMR, S3, Redshift, Glue, Lambda, Step Functions, DynamoDB, RDS, Athena, EventBridge, API Gateway, and SNS, data pipeline, Python, PySpark, Kafka, CI/CD pipelines, Docker, Terraform. Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.


Sponsored
4/23/2025 12:00:00 AM
Diverse Lynx
Pittsburgh , PA

Skills: Oracle 10g ECM (Enterprise Content Management), Unix / Linux Basics and Commands, - Moogsoft, - App Dynamics, - Splunk, - Prometheus, among others. Job Description: Desired Skills:- Excellent Communication & very good Client Coordination skills.- Good in requirement gathering Technical Skills: ? Having good experience in Python. ? Having good experience in Bigdata, Hadoop.? Solid experience in SQL, NoSQL, databases. ? Good experience in cloud platforms. (AWS, Azure) ? Proficient in Python Programming and data manipulation. ? Strong knowledge in ETL tools, Data Lakes, Data Warehouse. ? Good experience in monitoring tools: AppDynamics, Splunk, Moog soft etc ? Good experience in Service Management tools: ServiceNow, Remedy etc ? Having Cloud and AI a plus? Experience in Scripting languages (Shell). ? Having good understanding on DevOps concepts. ? Understanding of SDLC and agile methodologies in particular ? Strong logical, analytical, and design skills ? Excellent written and ver


Sponsored
4/23/2025 12:00:00 AM
TDK SensEI
Pittsburgh , PA

Sr. Data Engineer TDK SensEI Pittsburgh, PA **This position is for our Pittsburgh, PA office - only apply if you are based there or willing to relocate** At TDK SensEI, we are transforming how industrial customers utilize and interact with sensor data. We specialize in developing advanced AI solutions capable of running directly on edge devices. By processing data locally, TDK SensEI enhances real-time decision-making, privacy, security, and cost efficiency. Our offerings include automated machine learning tools, AI-powered condition-based monitoring systems, and various sensor devices optimized for low latency and power consumption. Collaborating with leading global companies, we empower teams to effortlessly devise and implement machine learning solutions for industrial applications, all without the need for coding. We are seeking a Senior Data Engineer to join our team and play a pivotal role in designing, implementing, and maintaining scalable data solutions. As a Senior Data Engin


Sponsored
4/22/2025 12:00:00 AM

Check more jobs information at Deep Well Services

Job Title Average Deep Well Services Salary Hourly Rate
2 Purchasing Coordinator $134,832 $65
3 Rig Operator $58,684 $28
4 Roustabout $60,793 $29
5 Senior Sales Manager, Business Development $191,240 $92
6 Senior VP, Operations $522,235 $251
7 Staff Accountant $65,982 $32
8 Supervisor, Operations Field $73,307 $35
9 System Support Specialist $61,527 $30
10 Truck Driver $62,780 $30
11 Accounting Specialist $66,038 $32
12 Assistant Manager $108,104 $52
13 Cdl Driver $38,071 $18

Hourly Pay at Deep Well Services

The average hourly pay at Deep Well Services for a Data Engineer is $66 per hour. The location, department, and job description all have an impact on the typical compensation for Deep Well Services positions. The pay range and total remuneration for the job title are shown in the table below. Deep Well Services may pay a varying wage for a given position based on experience, talents, and education.
How accurate does $136,703 look to you?

FAQ about Salary and Jobs at Deep Well Services

1. How much does Deep Well Services pay per hour?
The average hourly pay is $66. The salary for each employee depends on several factors, including the level of experience, work performance, certifications and skills.
2. What is the highest salary at Deep Well Services?
According to the data, the highest approximate salary is about $147,377 per year. Salaries are usually determined by comparing other employees’ salaries in similar positions in the same region and industry.
3. What is the lowest pay at Deep Well Services?
According to the data, the lowest estimated salary is about $123,903 per year. Pay levels are mainly influenced by market forces, supply and demand, and social structures.
4. What steps can an employee take to increase their salary?
There are various ways to increase the wage. Level of education: An employee may receive a higher salary and get a promotion if they obtain advanced degrees. Experience in management: an employee with supervisory experience can increase the likelihood to earn more.