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New Grad Data Engineer Jobs in Spring, TX (NOW HIRING)

Maintain and provide enhancements to data architecture within new/existing systems including Data ... API programming * Agile (methodologies and practical application) * Continuous Integration ...

Big data engineer

Houston, TX

$53.25 - $70.50/hr

Big Data Engineer Location: Houston, TX- locals highly preferred Duration: Through 3/31/2017 Notes ... new and innovative ideas to the DBA knowledge base Maintain technical currency in database and ...

Data Engineering Lead- Finance

Houston, TX · On-site

$109K - $131K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust ... Working at DPR, you'll have the chance to try new things, explore unique paths and shape your ...

... a Data Engineer - Senior Associate, you will focus on designing and building data infrastructure ... By using a broad range of tools, methodologies, and techniques, you will generate new ideas and ...

Network/Data Engineer Duration: 2 years This Engineer needs to have experience in F5 load balancer ... The growth activities include turn up of new network elements, upgrades to existing equipment and ...

Full Stack Engineer

Houston, TX · On-site

$100K - $130K/yr

Reporting to the Senior Director of Data Engineering, you'll own our internal portal, middleware ... What You'll Build Our POS middleware, internal portal and new reporting features power operational ...

Full Stack Engineer

Houston, TX · On-site

$100K - $130K/yr

Reporting to the Senior Director of Data Engineering, you'll own our internal portal, middleware ... What You'll Build Our POS middleware, internal portal and new reporting features power operational ...

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New Grad Data Engineer information

See Spring, TX salary details

$39.6K

$115.4K

$158K

How much do new grad data engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for new grad data engineer in Spring, TX is $115,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,900.00 and $122,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the New Grad Data Engineer position, and why are they important?

To thrive as a New Grad Data Engineer, you need a strong grasp of programming languages like Python or SQL, a background in computer science or a related field, and an understanding of data modeling and database concepts. Familiarity with data engineering tools such as ETL pipelines, cloud platforms like AWS or Azure, and certifications in these areas can be beneficial. Strong problem-solving skills, effective communication, and a willingness to learn are valuable soft skills for this position. These abilities ensure you can effectively handle complex data tasks, collaborate with technical teams, and adapt to evolving technologies in a fast-paced environment.

What does the typical day look like for a New Grad Data Engineer?

As a New Grad Data Engineer, your day often involves writing and optimizing code for data pipelines, cleaning and transforming data, and troubleshooting any issues that arise. You’ll work closely with senior data engineers, data scientists, and sometimes business stakeholders to understand data requirements and deliver reliable solutions. Many entry-level roles emphasize learning and professional growth, so you can expect regular mentorship, code reviews, and opportunities to work on small components of larger projects. Over time, you’ll take on more complex responsibilities and contribute to the overall data infrastructure of your organization.

What is a New Grad Data Engineer job?

A New Grad Data Engineer is an entry-level role for recent graduates who focus on designing, building, and maintaining data pipelines and infrastructure. They work with databases, ETL (Extract, Transform, Load) processes, and big data technologies to ensure efficient data flow and storage. Typically, they collaborate with data scientists, analysts, and software engineers to support data-driven decision-making. This role requires knowledge of SQL, Python, and cloud platforms, along with problem-solving and analytical skills. It is an excellent opportunity to gain hands-on experience in data engineering while learning industry best practices.

What are popular job titles related to New Grad Data Engineer jobs in Spring, TX? For New Grad Data Engineer jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching New Grad Data Engineer jobs in Spring, TX look for? The top searched job categories for New Grad Data Engineer jobs in Spring, TX are:
What cities near Spring, TX are hiring for New Grad Data Engineer jobs? Cities near Spring, TX with the most New Grad Data Engineer job openings:
BI Data Engineer

BI Data Engineer

Crane Company

The Woodlands, TX • On-site

Full-time

Re-posted 10 days ago


Job description

Business Unit and Position Summary:

Crane ChemPharma & Energy Flow Solutions is a division within the Fluid Handling Business Segment of Crane Co, a US multi-national which specializes in highly engineered products in niche markets. Crane ChemPharma & Energy Flow Solutions designs, manufactures, markets and distributes a range of process valves and actuators under multiple brand names for a wide range of applications in a number of industries including the refinery, chemical, biopharmaceutical, and energy industries.

Position Summary:

The BI Data Engineer is a Business Intelligence focused role that will be an essential part of the team leading the Global Business Intelligence rollout across ChemPharma & Energy. The ideal candidate will possess proven technical expertise in BI Implementations, strong business acumen, and excellent interpersonal skills. As a BI Data Engineer, you will design data storage systems, works to fill them with quality data using data pipelines into a data warehouse. The BI will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing existing data systems and building them from the ground up. This is a great opportunity to work on building a BI platform from scratch for a company that has significant leadership engagement to undergo a BI tech transformation.

www.craneco.com

Principle Duties:

  • Creating ETL routines includes writing the code that creates the transformations and processes that move data from the specified sources, transform it as required and write it into the data mart

  • Maintain and provide enhancements to data architecture within new/existing systems including Data Warehouse

  • Recommend and implement process to improve data quality, data reliability, and database performance

  • Employ variety of ETL and integration tools for system and data integrations

  • Architect solutions that support data scientist and business stakeholders

  • Conduct ETL testing and data transformation testing.

  • Develop data models for data science team that can be utilized for data mining

  • Maintain source to target documentation and process flow documentation

  • Ability to serve as SQL Server DBA - Processes/Job/Error Handling/Troubleshooting/Scheduling, etc

  • Create and enhance data solutions enabling seamless delivery of data and is responsible for collecting, parsing, managing and analyzing large sets of data

  • Translate data access, transformation, and movement requirements into functional requirements and mapping designs

  • Ensure data quality

  • Oversee the complete lifecycle of data integration: analysis, design, implementation and actively engage with the business on using the data to make decisions

  • Architect data flows, build out data pipelines and implement complex analytics while ensuring the highest standard of data integrity

  • Perform advanced quantitative and statistical analysis of large datasets to identify trends, patterns, and correlations that can be used to improve business performance

  • Translating business requirements into data models to manage data within the organization, using sound technical expertise

  • Managing the Data Platform roadmap ensuring technical future proofing, capacity and optimization of the platform

  • Working with the IT Operations team and BI Vendor to resolve any production issues

  • Managing stakeholder demand and backlog of reporting requirements and needs

  • Maintaining relationships with key vendors to plan and adapt the Data Platform roadmap and best leverage the capabilities that we have

  • Monitoring usage of the Data Platform and working with users to deprecate reports and data sets that are not needed and creating a continuous improvement model for the data

  • Actively working with users to understand data issues, tracing back data lineage and helping the business put appropriate data cleansing and quality processes in place

  • Monitoring and reporting on the uses of emerging technologies, and seeking areas for continuous improvement

  • Prescribe and doggedly follow CBS processes and toolkits to achieve operational excellence

  • Submit Weekly Report to update on the progress of assigned tasks

  • Follow project charge from IT Leader

  • Ensure compliance with IT policies and regulations

Essential Qualifications / Experience:

  • BS or MS degree in Computer Science or a related technical field

  • 4+ years of experience with ETL Development, Testing, Maintenance and Troubleshooting

  • 4+ years of SQL experience (No-SQL experience is a plus)

  • 4+ years of experience with data cleansing and preparation

  • Strong understanding of data analysis, data and process modelling, and relational database concepts

  • Experience designing, building, and maintaining data processing systems

  • Database Development (tables, relationships, indexes, stored procedures, functions, jobs, agents, etc.)

  • 3rd Party System Integrations/API programming

  • Agile (methodologies and practical application)

  • Continuous Integration/Continuous Deployment (methodologies and practical application)

  • New System Installations (Server Setup, Configuration, Testing, Deployment)

  • System Migrations (i.e., On-Premise to Cloud)

  • Must be willing to travel to domestic/international Crane or customer locations, with up to 25% travel at peak-times

Desirable Qualifications / Experience:

  • Knowledge of best practices and IT operations in an always-up, always-available service

  • Proven Business intelligence and data experience gained in previous roles

  • Previous experience of meeting the visualization, reporting and analytics needs of key business functions through development of presentation and data models

  • Working closely with business management teams to understand their requirements and data

  • Defining and developing data sets, models and cubes.

  • Data Warehouse Design/Development - ETLs, Data Modeling, Advanced Data Management Techniques

  • Desirable to have working knowledge of SalesForce data structures

  • Experience with or knowledge of Agile Software Development methodologies

  • Excellent problem solving and troubleshooting skills

  • Process oriented with great documentation skills

  • Excellent oral and written communication skills with a keen sense of customer service

  • Experience presenting to stakeholders

This position is not eligible for visa sponsorship.

#LI-VD1

#CPE

This description has been designed to indicate the general nature and level of work being 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.

Crane Company. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, gender, sexual orientation, general identity, national origin, disability or veteran status.


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About Crane AI

Sourced by ZipRecruiter

Industry

Software development

Company size

11 - 50 Employees

Headquarters location

New York, NY, US

Year founded

2017