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Entry Level Streaming Data Engineer Jobs in Dallas, TX

GM Financial

Manager - Data Engineering

Irving, TX · On-site

$106K - $127K/yr

... data engineer and practice * Conduct code reviews, suggest improvements, support technology ... Working knowledge with directed analytic graph stream processing using Beam, Flink, Nifi and/or ...

Accenture

Google Data Specialist

Dallas, TX · On-site

$70K - $196K/yr

You Are A hands-on Specialist with foundational experience in Data Engineering, Analytics, or ... Implement data ingestion patterns for batch and streaming data sources. * Support development of ...

Omni Hotels & Resorts

Cloud Data Engineer

Dallas, TX · On-site

$55.25 - $73/hr

Omni's Cloud Data Engineer specializing in Microsoft Fabric is responsible for designing, building ... new data streams and optimize existing pipelines. * Work with different source systems storage ...

System One

Senior AI Software Engineer

Plano, TX · On-site

$118K - $155K/yr

This is a hands-on technical role involving backend development, API engineering, cloud architecture, streaming data, and GenAI integrations. The ideal candidate will work closely with technical ...

System One

Senior AI Software Engineer

Plano, TX · On-site

$118K - $155K/yr

This is a hands-on technical role involving backend development, API engineering, cloud architecture, streaming data, and GenAI integrations. The ideal candidate will work closely with technical ...

System One

Senior AI Software Engineer

Plano, TX · On-site

$118K - $155K/yr

This is a hands-on technical role involving backend development, API engineering, cloud architecture, streaming data, and GenAI integrations. The ideal candidate will work closely with technical ...

System One

Senior AI Software Engineer

Plano, TX · On-site

$118K - $155K/yr

This is a hands-on technical role involving backend development, API engineering, cloud architecture, streaming data, and GenAI integrations. The ideal candidate will work closely with technical ...

System One

Senior AI Software Engineer

Plano, TX · On-site

$118K - $155K/yr

This is a hands-on technical role involving backend development, API engineering, cloud architecture, streaming data, and GenAI integrations. The ideal candidate will work closely with technical ...

System One

Senior AI Software Engineer

Plano, TX · On-site

$118K - $155K/yr

This is a hands-on technical role involving backend development, API engineering, cloud architecture, streaming data, and GenAI integrations. The ideal candidate will work closely with technical ...

System One

Senior AI Software Engineer

Plano, TX · On-site

$118K - $155K/yr

This is a hands-on technical role involving backend development, API engineering, cloud architecture, streaming data, and GenAI integrations. The ideal candidate will work closely with technical ...

Programmers.io

Hadoop Cloudera Engineer

Irving, TX · On-site

Cloud & DevOps (CI/CD, Docker, Kubernetes, CDP (Cloud) * Big Data Tools (Hive,Impala, HBase ... Data Ingestion Tools (Sqoop, Flume, Kafka) * Experience with real-time processing (Spark Streaming ...

GM Financial

Data Engineer-Adobe Exp Platform

Irving, TX · Hybrid

$109K - $132K/yr

... DevOps). * Experience with processing large data sets using Hadoop, HDFS, Spark, Kafka, Flume or ... Understanding of big data platforms and architectures, data stream processing pipeline/platform ...

Photon

Data Lead- Dallas, TX

Dallas, TX · On-site

Metadata Engineering: Enrich raw data with advanced metadata tagging to help agents filter and prioritize information during multi-step reasoning tasks. * Real-time Data Streaming: Build low-latency ...

Photon

Data Lead- Dallas, TX

Dallas, TX

Metadata Engineering: Enrich raw data with advanced metadata tagging to help agents filter and prioritize information during multi-step reasoning tasks. * Real-time Data Streaming: Build low-latency ...

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Showing results 21-40

All JobsStreaming Data Engineer JobsEntry Level Streaming Data Engineer JobsEntry Level Streaming Data Engineer Jobs in Dallas, TX

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:

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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:

Entry Level Streaming Data Engineer jobs near you
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.

Manager - Data Engineering

GM Financial

Irving, TX • On-site

$106K - $127K/yr

Full-time

Retirement

Posted 12 days ago

GM Financial rating

8.2

Company rating: 8.2 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

54th of 173 rated vehicle equipment hire

Job description


Why GM Financial Technology
Innovation isn't just a talking point at GM Financial, it's how we operate. From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech teams are building real solutions that make a difference. We're committed to AI-powered transformation, using advanced machine learning and automation to help us reimagine customer interactions and modernize operations, positioning GM Financial as a leader in digital innovation within a dynamic industry.
Join us and discover a workplace where your ideas matter, your development is prioritized, and you can truly make a global impact.
Work Arrangement: Hybrid - 2 days onsite, 3 days remote per week
Responsibilities
About the role:
We are expanding our efforts into complementary data technologies for analytics and decision support in areas of ingesting and processing large data sets. Our interests are in enabling data science and search based applications on large and low latent data sets in both a batch and streaming context for processing. To that end, this role will engage with team counterparts in exploring, developing and deploying technologies for creating data sets using a combination of batch and streaming transformation processes. These data sets support both off-line and in-line machine learning training and model execution. Other data sets support search engine based analytics. Exploration and deployment of technologies activities include identifying opportunities that impact business strategy, selecting data solutions software, and defining hardware requirements based on business requirements. Responsibility also includes coding, testing, and documentation of new or modified scalable analytic data systems including automation for deployment and monitoring. This role participates along with team counterparts to architect an end-to-end framework developed on a group of core data technologies. Other aspects of the role include developing standards and processes for data engineering projects and initiatives.
What makes you a dream candidate?
  • Evaluate, research, experiment with data engineering technologies in a lab to keep pace with industry innovation while assessing business impact and viability for use cases associated with efforts in hand
  • Work with data engineering related groups to inform on and showcase capabilities of emerging technologies and to enable the adoption of these new technologies and associated techniques
  • Define and refine processes and procedures for the data engineering practice
  • Work closely with data scientists, data architects, ETL developers, other IT counterparts, and business partners to identify, capture, collect, and format data from the external sources, internal systems, and the data warehouse to extract features of interest
  • Code, test, deploy, monitor, document, and troubleshoot data engineering processing and associated automation
  • Define data engineering architecture both hardware and software reflective of business requirements to be included in end-to-end solution architecture
  • Educate and develop ETL developers on data engineering so as to enable transition to data engineer and practice
  • Conduct code reviews, suggest improvements, support technology upgrades for the common libraries, handover them to the corresponding development teams for quality check and support them till deployment into production
  • Support ETL developers and Operations teams to troubleshooting of the incidents for root cause analysis and assist in solutioning to meet the service level agreements
  • Work with Operations teams in Big Data, IT and Information Security with monitoring and troubleshooting of incidents to maintain service levels
  • Contribute to the evolving distributed systems architecture to meet changing requirements for scaling, reliability, performance, manageability, and cost
  • Report utilization and performance metrics to user communities
  • Contributes to planning and implementation of new/upgraded hardware and software releases
  • Responsible for monitoring the Linux, Hadoop, and Spark communities and vendors and report on important defects, feature changes, and or enhancements to the team
  • Research and recommend innovative, and where possible, automated approaches for administration tasks
  • Identify approaches to efficiencies in resource utilization, provide economies of scale, and simplify support issues

Qualifications
Have Other Skills? We Use These Too
  • Strong working knowledge of Hadoop and Spark cluster security, networking connectivity and IO throughput along with other factors that affect distributed system performance
  • Strong working knowledge of disaster recovery, incident management, and security best practices
  • Working knowledge of containers (e.g., docker) and major orchestrators (e.g., Mesos, Kubernetes, Docker Datacenter)
  • Working knowledge of automation tools (e.g., Puppet, Chef, Ansible)
  • Working knowledge of software defined networking
  • Working knowledge of parcel based upgrades with Hadoop (i.e., Cloudera)
  • Working knowledge of hardening Hadoop with Kerberos, TLS, and HDFS encryption
  • Working knowledge with directed analytic graph stream processing using Beam, Flink, Nifi and/or Samza
  • Excellent knowledge of Linux, AIX, or other Unix flavors
  • Working knowledge of Cloud based implementations (e.g., Microsoft Azure) with emphasis on security using ACLs and Artifactory Groups
  • Ability to accept change and to adapt to shifting organizational challenges and priorities
  • Ability to coach, develop and lead others
  • Ability to evaluate problems and issues quickly, and to make recommendations for courses of action
  • Ability to make independent decisions and use sound judgment in relation to the management of team members
  • Ability to prioritize tasks and ensure their completion in a timely manner
  • Excellent analytical and troubleshooting skills
  • Strong interpersonal, verbal and written skills

Work Experience
  • 5-7 years experience with software engineering to include Java, Scala, and Python required
  • 5-7 years proficiency with processing large data sets with Kafka, RabbitMQ, Flume, Hadoop, HBase, Cassandra and/or Spark or similar distributed system required
  • 3-5 years hands-on experience with scripting with Bash, Perl, Ruby required
  • 3-5 years hands-on development / processing experience on Kafka, HBase, Solr, and Hue required
  • 2-4 years hands-on experience with ETL and Business Intelligence technologies such as Informatica, DataStage, Ab Initio, Cognos, BusinessObjects, or Oracle Business Intelligence required
  • 2-3 years hands-on experience with SQL, data modeling, and relational databases such as Oracle, DB2, and Postgres required
  • Proven track record with NoSQL data stores such as MongoDB, Cassandra, HBase, Redis, Riak or other technologies that embed NoSQL with search such as MarkLogic or Lily Enterprise required
  • 0-2 years management experience with data engineering team preferred
  • High School Diploma or equivalent required
  • Bachelor's Degree in related field or equivalent work or military experience required

Additional Knowledge and Skills
Working effectively within an AI enabled environment:
  • Ability to use AI tools (e.g., Microsoft Copilot) to support daily work
  • Skills in evaluating AI outputs for accuracy, compliance, and bias
  • Experience integrating AI into workflows to improve efficiency or insights
  • Familiarity with AI assisted research, summarization, and content generation
  • Understanding of responsible AI use, including ethics and data protection
  • Experience with AI assisted software development or automation
  • Knowledge of prompting techniques to improve output quality
  • Awareness of emerging GenAI capabilities and limitations

What We Offer: Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.
Our Culture: Our team members define and shape our culture - an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work - we thrive.
Compensation: Competitive pay and bonus eligibility.
Work Life Balance: Flexible hybrid work environment, 2-days a week in office.
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