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Data Engineer Ii Jobs (NOW HIRING)

Data Engineer II

Leawood, KS · On-site

$111K - $133K/yr

We're looking for a Data Engineer II to join our team! You'll be responsible for contributing to the design and development of enterprise data solutions that support analytics, business intelligence ...

Data Engineer II

Leawood, KS · Hybrid

$111K - $133K/yr

We're looking for a Data Engineer II to join our team! You'll be responsible for contributing to the design and development of enterprise data solutions that support analytics, business intelligence ...

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

Leawood, KS · Hybrid

$111K - $133K/yr

We're looking for a Data Engineer II to join our team! You'll be responsible for contributing to the design and development of enterprise data solutions that support analytics, business intelligence ...

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

Charlotte, NC · On-site

$111K - $134K/yr

Job#: 3046011 Data Engineer II Location: Charlotte, North Carolina (Hybrid) Duration: 12 months Role Overview We are seeking a Data Engineer II to help design, build, and maintain a centralized ...

Data Engineer II

Frisco, TX · On-site

$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

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

Redmond, WA · On-site

$133K - $219K/yr

We are looking for a Data Engineer II to design, lead the AI and agentic systems that build, operate, and scale a curated OPG data platform, the governed source of truth that experimentation, growth ...

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 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 2

Omaha, NE

$109K - $131K/yr

In the role of Data Engineer II, 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 ...

Data Engineer II

Las Vegas, NV · On-site

$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 II

Austin, TX · On-site

$114K - $137K/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

Chicago, IL · On-site

$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 ...

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 22, 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

27Global

Leawood, KS • On-site

$111K - $133K/yr

Full-time

Posted 20 days ago


Job description

Description:

27Global is a rapidly growing company in the dynamic industry of software, cloud, and data engineering. We pride ourselves on the quality of the services we deliver, the clients we serve, and the strength of our culture. Our commitment to our employees is evidenced by our five Best Places to Work awards.


We’re looking for a Data Engineer II to join our team! You’ll be responsible for contributing to the design and development of enterprise data solutions that support analytics, business intelligence, and scalable applications. You’ll work closely with data and software architects, consultants and other engineers to deliver data models, integration strategies, and governance practices that empower client’s data-driven decisions.


Joining 27Global as a Data Engineer is an exciting high-growth opportunity offering a competitive base salary, performance bonuses, and variable compensation.


Your Role:

  • Participate in the design and implementation of scalable, secure, and high-performance data architectures.
  • Develop and maintain conceptual, logical, and physical data models.
  • Work closely with architects to define standards for data integration, quality, and governance.
  • Collaborate with engineers, analysts, and business stakeholders to align data solutions with organizational needs.
  • Support cloud-based data strategies including data warehousing, pipelines, and real-time processing.
  • Design and optimize data pipelines that support AI, machine learning, and advanced analytics workloads.
  • Implement data preprocessing, feature engineering, and real-time inference capabilities for predictive modeling.
  • Integrate AI/ML models into production environments using tools such as AWS SageMaker, Azure Machine Learning, or Databricks.
  • Assess, learn, and apply emerging data technologies and frameworks to enhance solutions and stay current with industry trends.
Requirements:

What You Bring:

  • BA/BS/Master’s degree in Computer Science, Information Systems, Data Science, or related field.
  • 2 - 4 years of experience in data architecture, data engineering, or related roles delivering scalable architecture solutions from design to production.
  • 2 - 4 years of experience writing .Net code or other OOP languages in an Agile environment.
  • Demonstrated leadership skills with the ability to collaborate with and lead on-shore and off-shore team members.
  • Proficient technical skills in: Spark, Scala, C#, PySpark, Data Lake, Delta Lake, Relational and NoSQL Databases, AWS Glue and Azure Synapse
  • Experience with SQL, ETL/ELT, and data modeling.
  • Experience with cloud platforms (AWS, Azure, GCP) and implementing modern data platforms with data lake.
  • Knowledge of data governance, security, and compliance frameworks.
  • Ability to context switch and work on a variety of projects over specified periods of time.
  • Ability to work at the 27Global office in Leawood, KS with hybrid work flexibility after 90 days, and occasionally onsite at client offices.
  • Flexibility to occasionally travel to client sites may be required, typically 1 week per quarter or less.
  • Legal authorization to work in the United States and the ability to prove eligibility at the time of hire.

Ways to Stand Out:

  • Certifications: AWS Solution Architect, Azure Data Engineer, Databricks Data Engineer
  • Hands-on experience with Databricks for building and optimizing scalable data pipelines, Delta Lake, and Spark-based analytics.
  • Hands-on experience with big data tools (Spark, Kafka).
  • Modern data warehouses (Snowflake, Redshift, BigQuery).
  • Familiarity with machine learning pipelines and real-time analytics.
  • Strong communication skills and ability to influence stakeholders.
  • Prior experience implementing enterprise data governance frameworks.
  • Experience in a client-facing role, working directly with clients from multiple levels of the organization; often presenting and documenting client environment suggestions and improvements.

Why 27G?

  • Four-time award winner of Best Place to Work by the Kansas City Business Journal.
  • A casual and fun small business work environment.
  • Competitive compensation, benefits, time off, profit sharing, and quarterly bonus potential.
  • Dedicated time for learning, development, research, and certifications.