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Entry Level Streaming Data Engineer Jobs in Philadelphia, PA

Futran Tech Solutions Pvt. Ltd.

Data Engineer

Mount Laurel, NJ · On-site

$113K - $136K/yr

... streaming data processing using Kafka, Event Hubs, or Databricks Structured Streaming. • Exposure to Power BI, reporting platforms, or analytics consumption layers. • Experience working in Agile ...

Accenture

Google Data Specialist

Philadelphia, PA · 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 ...

Pwc

Data Engineer - Senior Associate

Philadelphia, PA · On-site

$77K - $202K/yr

... a Data Engineer - Senior Associate, you will focus on designing and building data infrastructure ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

SEI

Data and Analytics Consultant

Philadelphia, PA · On-site

Ability to design and build complex data pipelines that either stream data in * Experience and knowledge of programming and scripting languages, such as but not limited to Python, Node.JS and SQL

SEI

Data and Analytics Consultant

Philadelphia, PA · On-site

Ability to design and build complex data pipelines that either stream data in * Experience and knowledge of programming and scripting languages, such as but not limited to Python, Node.JS and SQL

Deloitte

AI Engineer Consultant

Philadelphia, PA · Hybrid

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

Pwc

AI Engineer

Philadelphia, PA · On-site

$55K - $187K/yr

Within our Internal Firm Services practice, you will apply data, algorithms, and software ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

AECOM

Entry-Level Civil Engineer

Conshohocken, PA

AECOM is actively seeking an Entry-Level Civil Engineer to join our well-established department ... Collects and analyzes data under the supervision of an experienced engineer. * Uses computer ...

AECOM

Entry-Level Civil Engineer

Conshohocken, PA · On-site

AECOM is actively seeking an Entry-Level Civil Engineer to join our well-established department ... Collects and analyzes data under the supervision of an experienced engineer. * Uses computer ...

AECOM

Entry-Level Civil Engineer

Conshohocken, PA · On-site

AECOM is actively seeking an Entry-Level Civil Engineer to join our well-established department ... Collects and analyzes data under the supervision of an experienced engineer. * Uses computer ...

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All JobsStreaming Data Engineer JobsEntry Level Streaming Data Engineer JobsEntry Level Streaming Data Engineer Jobs in Philadelphia, PA

Entry Level Streaming Data Engineer information

See Philadelphia, PA salary details

$44.9K

$130.9K

$179.1K

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

As of Aug 6, 2026, the average yearly pay for entry level streaming data engineer in Philadelphia, PA is $130,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,500.00 and $138,700.00 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 Philadelphia, PA? The most popular types of Streaming Data Engineer jobs in Philadelphia, PA are:
What are popular job titles related to Entry Level Streaming Data Engineer jobs in Philadelphia, PA? For Entry Level Streaming Data Engineer jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Entry Level Streaming Data Engineer jobs in Philadelphia, PA look for? The top searched job categories for Entry Level Streaming Data Engineer jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Entry Level Streaming Data Engineer jobs? Cities near Philadelphia, PA 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 Philadelphia, PA as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 11% Part Time, and 8% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $130,895 per year, or $62.9 per hour.

Data Engineer

Futran Tech Solutions Pvt. Ltd.

Mount Laurel, NJ • On-site

$113K - $136K/yr

Contractor

Posted 7 days ago

Job description

Role: Data Engineer
Location: Mount Laurel, NJ (3 Days onsite/week)
Contract
Job Description:
We are looking for a skilled Data Engineer with strong hands-on experience in Azure Databricks and Azure Data Factory to design, develop, and maintain scalable data pipelines and cloud-based data solutions. The ideal candidate will work closely with data architects, analysts, business stakeholders, and application teams to build reliable ETL/ELT workflows, transform large datasets, and enable analytics and reporting use cases.
Key Responsibilities:
• Design, develop, and maintain scalable data pipelines using Azure Data Factory and Azure Databricks.
• Build ETL/ELT workflows for data ingestion, transformation, cleansing, enrichment, and loading into data lakes or data warehouses.
• Develop and optimize PySpark, Spark SQL, and SQL scripts for large-scale data processing.
• Integrate data from multiple sources such as databases, APIs, flat files, cloud storage, and enterprise applications.
• Implement incremental data loading, scheduling, parameterization, and reusable pipeline frameworks in ADF.
• Work with Azure Data Lake Storage, Delta Lake, and lakehouse architecture patterns for structured and unstructured data.
• Monitor, troubleshoot, and optimize data pipelines for performance, reliability, cost efficiency, and data quality.
• Collaborate with business users, data analysts, data scientists, and architects to understand requirements and deliver data solutions.
• Implement data validation, reconciliation, exception handling, logging, and alerting mechanisms.
• Follow coding standards, version control, CI/CD, and deployment best practices using tools such as Git and Azure DevOps.
• Ensure data security, access control, and compliance by applying Azure security best practices.
• Prepare technical documentation including data flow diagrams, mapping documents, pipeline design, and support guides.
Required Technical Skills:
• Strong hands-on experience with Azure Databricks, Databricks notebooks, clusters, jobs, and workflows.
• Strong experience in Azure Data Factory including pipelines, datasets, linked services, triggers, parameters, variables, and integration runtimes.
• Good programming experience in PySpark, Python, Spark SQL, and SQL.
• Experience working with Azure Data Lake Storage Gen2, Delta Lake, and data lakehouse concepts.
• Knowledge of ETL/ELT design patterns, data warehousing concepts, dimensional modeling, and data integration methods.
• Experience in performance tuning of Spark jobs, SQL queries, and ADF pipelines.
• Understanding of batch processing, incremental loading, CDC concepts, and data partitioning strategies.
• Experience with Git, Azure DevOps, CI/CD pipelines, and release management for data engineering solutions.
• Knowledge of data quality checks, monitoring, logging, and error handling frameworks.
• Basic understanding of Azure security concepts such as managed identities, service principals, Key Vault, RBAC, and private endpoints.
Preferred / Good-to-Have Skills:
• Experience with Azure Synapse Analytics, Azure SQL Database, SQL Server, or Snowflake.
• Knowledge of Unity Catalog, data governance, metadata management, and data lineage.
• Experience with streaming data processing using Kafka, Event Hubs, or Databricks Structured Streaming.
• Exposure to Power BI, reporting platforms, or analytics consumption layers.
• Experience working in Agile delivery models and cross-functional project teams.
• Microsoft Azure Data Engineer certification or Azure Databricks certification is an added advantage.

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