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Entry Level Streaming Data Engineer Jobs in Dallas, TX

Our company provides application analysis, design, development and programming, software ... Streaming, Data Visualizations ETL for Client Cards business. POC's and development will involve ...

... data modeling, batch/streaming pipelines, structured/unstructured processing, and feature engineering/serving fundamentals. * 2+ years building production, real-time inference services (API design ...

Kafka Engineer

Dallas, TX · Remote

$57 - $75.50/hr

Position: Kafka Developer / Engineer (Kafka + MongoDB) Location: Remote Duration: Long term ... The ideal candidate will be responsible for building and maintaining real-time data streaming ...

Showing results 41-60

Entry Level Streaming Data Engineer information

See Dallas, TX salary details

$44K

$128.3K

$175.6K

How much do entry level streaming data engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for entry level streaming data engineer in Dallas, TX is $128,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,300.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Streaming Data Engineer vs Data Analyst?

AspectEntry Level Streaming Data EngineerData Analyst
Required SkillsKnowledge of streaming platforms (e.g., Kafka, Spark), basic programming, data modelingData visualization, SQL, statistical analysis, Excel
CertificationsOptional certifications in data engineering or cloud platformsCertifications in data analysis or business intelligence tools
Work EnvironmentDeveloping real-time data pipelines, working with streaming data systemsInterpreting data, creating reports, supporting decision-making
Industry UsageTech, finance, e-commerce, where real-time data processing is criticalMarketing, finance, healthcare, focusing on data insights

In summary, Entry Level Streaming Data Engineers focus on building and maintaining real-time data pipelines using streaming technologies, while Data Analysts interpret and visualize data to support business decisions. Both roles require different skill sets but are essential in data-driven industries.

What are the most commonly searched types of Streaming Data Engineer jobs in Dallas, TX?

The most popular types of Streaming Data Engineer jobs in Dallas, TX are:

What are popular job titles related to Entry Level Streaming Data Engineer jobs in Dallas, TX?

For Entry Level Streaming Data Engineer jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Entry Level Streaming Data Engineer jobs in Dallas, TX look for?

The top searched job categories for Entry Level Streaming Data Engineer jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Entry Level Streaming Data Engineer jobs?

Cities near Dallas, TX with the most Entry Level Streaming Data Engineer job openings:

Infographic showing various Entry Level Streaming Data Engineer job openings in Dallas, TX as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $128,320 per year, or $61.7 per hour.

Tax Innovation - Data Engineer - Senior Associate

Pwc

Dallas, TX

$77K - $214K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data Engineering

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a Tax Innovation - Data Engineer - Senior Associate, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Tax practice, you will focus on designing and building data infrastructure and systems to facilitate efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
As a Senior Associate, you will leverage your skills to build meaningful client connections and learn how to manage and inspire others. Navigating increasingly complex situations, you will grow your personal brand and deepen your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality solutions. Embracing increased ambiguity, you will be comfortable when the path forward isn't clear, using these moments as opportunities to grow.
In this role, you will utilize a broad range of tools and methodologies to generate new ideas and solve problems. You will interpret data to inform insights and recommendations, upholding professional and technical standards. This position offers a unique opportunity to develop a deeper understanding of the business context and how it is evolving.
Responsibilities
- Designing and developing data infrastructure and systems to facilitate efficient data processing and analysis
- Implementing data pipelines, integration, and transformation solutions to support client needs
- Utilizing Azure Data Factory and Databricks Unified Data Analytics Platform for data engineering tasks
- Developing data architecture and modeling strategies to optimize data flow and storage
- Applying database management and security best practices to maintain data integrity
- Building and maintaining data lakes and warehouses, including Snowflake Data Warehouse
- Conducting data validation and quality checks to support accurate insights generation
- Collaborating with clients to understand their data requirements and deliver tailored solutions
- Leveraging analytical thinking and creativity to solve complex data challenges
- Engaging in performance tuning and query optimization to enhance system efficiency
- Supporting the development of data strategy and governance frameworks to align with business objectives
What You Must Have
- At least a Bachelor's degree
- At least 3 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Mathematics/Statistics, Operations/Supply Chain
- Demonstrating proficiency in Azure Data Factory and Microsoft Azure Databricks
- Utilizing advanced skills in data modeling and data pipeline development
- Excelling in data architecture development and database management systems
- Implementing data anonymization and database security best practices
- Leveraging experience with Snowflake Data Warehouse and Databricks Unified Data Analytics Platform
- Applying analytical thinking and creativity to solve complex data engineering challenges

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $77,000 - $214,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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