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Data Engineer Ii Jobs (NOW HIRING)

Data Engineer II

Arlington, VA · On-site

$131K - $158K/yr

Data Engineer II Location : Arlington, VA, (Onsite) Position type: W2 contract Industry: Banking/Financials/Payments Mandatory: Banking/Financial, Big Data, Data Modeling, ETL, Hadoop, Python, Spark ...

Data Engineer II

Tulsa, OK · On-site

$120/hr

Data Engineer II/III Location: Tulsa, Oklahoma Salary: $120-135k Position is not eligible for sponsorship Benefits: Health insurance Disability insurance Life insurance Retirement plans (like a ...

Data Engineer II

Tulsa, OK · On-site

$120/hr

Data Engineer II/III Location: Tulsa, Oklahoma Salary: $120-135k Position is not eligible for sponsorship Benefits: Health insurance Disability insurance Life insurance Retirement plans (like a ...

Data Engineer II

Frisco, TX

$107K - $128K/yr

Data Engineer II Job Location: Frisco TX USA 75034 Job Duration: 6+Month Contract Interview Method: Phone then In Person Working Hours: 8AM TO 5PM Position Summary: * Individuals within the Data ...

Data Engineer II

Providence, RI · On-site

$115K - $138K/yr

As a Data Engineer II, you will play a key role in architecting, developing, and optimizing robust data infrastructure that empowers the organization's data-driven initiatives. You will leverage your ...

Data Engineer II

Providence, RI · On-site

$115K - $138K/yr

As a Data Engineer II, you will play a key role in architecting, developing, and optimizing robust data infrastructure that empowers the organization's data-driven initiatives. You will leverage your ...

Data Engineer II

Providence, RI · On-site

$115K - $138K/yr

As a Data Engineer II, you will play a key role in architecting, developing, and optimizing robust data infrastructure that empowers the organization's data-driven initiatives. You will leverage your ...

Data Engineer II

Manhattan, NY · Remote

$117K - $140K/yr

Data Engineer II Location-Type: Remote (EST hours preferred) Start Date Is: ASAP Duration: Permanent Compensation Range: $140-150K 10% bonus Benefits: Eligible for Health, Dental, Vision, 401K, PTO ...

Data Engineer II

Culver City, CA · On-site

$120K - $160K/yr

The Data Engineer II designs and builds reliable, scalable ELT pipelines that power analytics, reporting, and AI/ML applications across Sony Pictures Entertainment. This role contributes to data and ...

Data Engineer II

Temple, TX · On-site

$106K - $127K/yr

We're looking for a skilled Data Engineer II to design, build, and optimize scalable data solutions that support analytics, reporting, and advanced business intelligence initiatives. This role ...

Data Engineer II

Culver City, CA · On-site

$120K - $160K/yr

The Data Engineer II designs and builds reliable, scalable ELT pipelines that power analytics, reporting, and AI/ML applications across Sony Pictures Entertainment. This role contributes to data and ...

Data Engineer II

Temple, TX · Hybrid

$92K - $111K/yr

We're looking for a skilled Data Engineer II to design, build, and optimize scalable data solutions that support analytics, reporting, and advanced business intelligence initiatives. This role ...

Data Engineer 2

Omaha, NE · On-site

$109K - $131K/yr

In the role of Data Engineer 2, we'll count on you to: • Build and maintain batch and streaming ingestion pipelines from source systems into the enterprise data platform. • Implement robust error ...

Data Engineer II

Chicago, IL

$117K - $141K/yr

About the Role We are seeking a Data Engineer II to join our Global Data Platform & Engineering team. In this role, you will help build and maintain scalable, cloud-native data solutions that power ...

Data Engineer II

Las Vegas, NV

$110K - $132K/yr

About the Role We are seeking a Data Engineer II to join our Global Data Platform & Engineering team. In this role, you will help build and maintain scalable, cloud-native data solutions that power ...

Data Engineer 2

Omaha, NE · On-site

$109K - $131K/yr

In the role of Data Engineer 2, we'll count on you to: Build and maintain batch and streaming ingestion pipelines from source systems into the enterprise data platform. Implement robust error ...

Data Engineer 2

Omaha, NE · On-site

$109K - $131K/yr

In the role of Data Engineer 2, we'll count on you to: Build and maintain batch and streaming ingestion pipelines from source systems into the enterprise data platform. Implement robust error ...

Showing results 41-60

Data Engineer II information

See salary details

$44.5K

$129.7K

$177.5K

How much do data engineer ii jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data engineer ii in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is a Data Engineer II?

A Data Engineer II is responsible for designing, building, and maintaining data pipelines and architectures to support analytics and business intelligence. They typically work with large datasets, ensuring data is collected, stored, and processed efficiently and securely. The role often involves optimizing data flow, writing complex queries, integrating data from multiple sources, and collaborating with data scientists and analysts. As a mid-level position, Data Engineer II professionals may also mentor junior engineers and contribute to the development of best practices in data engineering.

What skills and qualifications are needed to thrive as a Data Engineer II?

To thrive as a Data Engineer II, you need strong skills in data modeling, ETL development, SQL, and programming languages like Python or Java, often supported by a bachelor’s degree in computer science or a related field. Familiarity with data warehousing solutions (such as AWS Redshift or Google BigQuery), cloud platforms, and tools like Apache Spark or Airflow, as well as relevant certifications, is highly beneficial. Excellent problem-solving, collaboration, and communication skills help you work effectively with both technical and non-technical teams. These competencies are crucial to ensure the efficient design, development, and maintenance of scalable, reliable data infrastructure that supports business decision-making.

What challenges does a Data Engineer II face when transitioning from individual contributor to collaborating in cross-functional teams?

As a Data Engineer II, you will often shift from working primarily on independent tasks to collaborating closely with data scientists, analysts, and software engineers. A common challenge is ensuring that data pipelines and infrastructure meet the varying needs of different stakeholders, often requiring clear communication and compromise. You'll also need to balance maintaining data integrity with building scalable solutions under tight deadlines. Developing strong collaboration skills and being proactive in understanding team goals will help you succeed in this environment.

What is the difference between Data Engineer Ii vs Data Engineer I?

AspectData Engineer IData Engineer II
ExperienceEntry-level, 0-2 yearsMid-level, 2-4 years
CertificationsBasic data or cloud certifications often preferredAdvanced certifications like AWS, GCP, or Azure data certifications
ResponsibilitiesAssist in data pipeline development, basic data modelingDesign and optimize data pipelines, handle complex data projects
Work EnvironmentSupportive team, supervised tasksIndependent problem-solving, project ownership

In summary, Data Engineer I is an entry-level role focusing on basic data tasks, while Data Engineer II involves more complex responsibilities and greater independence, often requiring additional certifications and experience.

More about Data Engineer II jobs

What cities are hiring for Data Engineer Ii jobs?

Cities with the most Data Engineer Ii job openings:

What states have the most Data Engineer Ii jobs?

States with the most job openings for Data Engineer Ii jobs include:

Infographic showing various Data Engineer Ii job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer II

Accord Technologies Inc.

Arlington, VA • On-site

$131K - $158K/yr

Contractor

Re-posted 12 days ago


Job description

Title: Data Engineer II
Location : Arlington, VA, (Onsite) 
Position type: W2 contract
Industry: Banking/Financials/Payments
 
Mandatory: Banking/Financial, Big Data, Data Modeling, ETL, Hadoop, Python, Spark, SQL , 

Job Description:
The ideal candidate must have 9+ years of hands-on data engineering experience building large-scale ETL pipelines using Apache Spark, Hadoop, Python, and SQL. They also need a strong background in the payments or financial sector, paired with excellent communication skills to effectively influence and partner with cross-functional teams.
 
Required Education
• Bachelor's degree in a quantitative discipline such as Engineering, Mathematics, Finance, Business, or a related field. Equivalent practical experience may also be considered.
Required Qualifications/Skills/Experience:
• Experience as a Data Engineer or in a similar role, with a strong understanding of data engineering concepts and methodologies.
• Strong knowledge of writing and optimizing SQL queries to retrieve, manipulate, and analyze data efficiently.
• Hands-on experience with big data technologies such as:
• Apache Spark (PySpark, Spark SQL, Spark Streaming)
• Hadoop ecosystem (HDFS/ Ozone, Hive, YARN)
• Understanding data modeling concepts and database design to support scalable data solutions.
• Familiarity with Python.
• Ability to analyze and troubleshoot data issues and provide solutions with minimal supervision.
• Basic knowledge of testing and validating data to ensure accuracy and consistency in data pipelines.
• Excellent verbal and written communication skills, with the ability to articulate complex ideas clearly and concisely to both technical and non-technical stakeholders.
Role:
This role focuses on designing, implementing, and maintaining scalable enterprise ETL processes and robust data pipelines for a global client base. You will leverage big data frameworks like Apache Spark and Hadoop, along with SQL and Python, to optimize data processing and ensure high data quality. Working closely with cross-functional teams, you will automate routine tasks and deliver accurate, high-value data solutions across various industries.
• Support the design, implementation, and maintenance of enterprise ETL processes for data platforms, for a global client base.
• Develop scalable and efficient code to process data, ensuring availability and accessibility in a timely manner.
• Leverage big data processing frameworks such as Apache Spark and Hadoop to build and optimize data pipelines.
• Collaborate with senior engineers to address data challenges, contributing to solutions that maintain high data quality.
• Assist in the data delivery process, working alongside Data Engineers and Analysts to support accurate, high-value data solutions across various clients and industries.
• Build strong working relationships with team members and clients, contributing to both local and global projects.
• Learn and apply industry best practices, including version control, code reviews, and data validation, to ensure quality in data processes.
• Use SQL and other database technologies to help optimize data processing and reduce the time required to handle large data sets.
• Design, implement, and maintain data pipelines using ETL frameworks, orchestration tools, and distributed data processing engines.
• Participate in efforts to automate routine data tasks and streamline processes.
• Comply with all Mastercard internal policies and adhere to external regulations.