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Commission Databricks Data Engineer Jobs in Maryland

Data Engineer

California, MD · On-site +1

$137K/yr

Data Engineer Job Duties: * Discover hidden information using massive datasets and leveraging ... Develop and optimize Spark based pipelines using databricks for large-scale data processing and ...

Data Engineer

Belcamp, MD · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive ...

Data Engineer

Belcamp, MD · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Experience with distributed data/computing tools including Spark, Databricks, Hadoop, Hive, AWS EMR ...

Data Engineer

Belcamp, MD · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive ...

Data Engineer

Belcamp, MD · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Experience with distributed data/computing tools including Spark, Databricks, Hadoop, Hive, AWS EMR ...

Data Engineer

Aberdeen, MD · On-site +1

$77K - $176K/yr

As a data engineer, you know that organizing data can yield pivotal insights when it's gathered ... Experience with distributed data/computing tools including Spark, Databricks, Hadoop, Hive, AWS EMR ...

Data Engineer

Aberdeen, MD · On-site +1

$77K - $176K/yr

As a data engineer, you know that organizing data can yield pivotal insights when it's gathered ... Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive ...

Data Engineer

Columbia, MD · Hybrid

$120K - $144K/yr

Experience utilizing Python, SQL, Spark/Scala, Databricks, and distributed data processing ... data engineering practices. * Experience implementing data quality controls, data governance ...

Data Engineer

Columbia, MD · Hybrid

$120K - $144K/yr

Experience utilizing Python, SQL, Spark/Scala, Databricks, and distributed data processing ... data engineering practices. * Experience implementing data quality controls, data governance ...

Data Engineer

Columbia, MD · On-site

$120K - $144K/yr

Experience utilizing Python, SQL, Spark/Scala, Databricks, and distributed data processing ... data engineering practices. * Experience implementing data quality controls, data governance ...

Lead Data Engineer

Bethesda, MD

$122K - $146K/yr

We are is looking for talented, enthusiastic senior data engineers who share our passion for big ... Experience with Databricks or Azure ML Experience applying machine learning algorithms to solve ...

Lead Data Engineer

Bethesda, MD · On-site +1

$122K - $146K/yr

... and Databricks • Develop technical architectures and specific implementations to meet business needs. • Guide the team's software engineering best practices by documenting standards and ...

Senior Data Engineer

Baltimore, MD · Hybrid

$105K - $143K/yr

Design Databricks cluster policies, autoscaling configurations, and cost optimization strategies ... As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate ...

Showing results 41-60

Commission Databricks Data Engineer information

What is the difference between Commission Databricks Data Engineer vs Commission Data Engineer?

AspectCommission Databricks Data EngineerCommission Data Engineer
CertificationsDatabricks certifications, cloud platform credentialsGeneral data engineering certifications, cloud platform credentials
Work EnvironmentPrimarily on Databricks platform, cloud-basedVarious cloud platforms, on-premises or cloud
Industry UsageTech, finance, healthcare with Databricks adoptionBroad industry, including finance, retail, healthcare

The Commission Databricks Data Engineer specializes in working with Databricks platform for data processing and analytics, often requiring Databricks-specific certifications. In contrast, the Commission Data Engineer has a broader scope, working across multiple platforms and environments. Both roles involve building data pipelines and managing data workflows, but the Databricks-focused role emphasizes expertise in Databricks tools and cloud integrations.

How much does a Commission Databricks Data Engineer make?

A Databricks Data Engineer's salary varies based on experience, location, and company size, but typically ranges from $90,000 to $140,000 annually. Those with advanced skills in Spark, cloud platforms, and data pipeline development may earn higher compensation, especially with certifications or in high-demand markets.

Is a Databricks data engineer in demand?

Databricks data engineers are in high demand due to the increasing adoption of cloud-based data platforms and big data processing. Skills in Apache Spark, SQL, and cloud environments like AWS or Azure enhance job prospects, with many organizations seeking professionals to manage large-scale data workflows and analytics.

What are the most commonly searched types of Databricks Data Engineer jobs in Maryland?

The most popular types of Databricks Data Engineer jobs in Maryland are:

What cities in Maryland are hiring for Commission Databricks Data Engineer jobs?

Cities in Maryland with the most Commission Databricks Data Engineer job openings:

Data Engineer

Manulife

California, MD • On-site, Remote

$137K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

Employer: John Hancock Life Insurance Company (USA)
Job Site: 200 Berkeley Street, Boston, MA 02116
Job Title: Data Engineer

Job Duties:

  • Discover hidden information using massive datasets and leveraging advanced data analytics and machine learning techniques to enable data-driven strategic decision-making. Duties include:
  • Design, build and maintain data pipelines for ETL/ELT processes for large scale datasets;
  • Migrate legacy data architectures to Azure and AWS leveraging cloud-native services for scalability;
  • Develop and optimize Spark based pipelines using databricks for large-scale data processing and Synpse for creating data pipelines;
  • Automate complex workflows for data ingestion, transformation, and delivery using Airflow;
  • Create interactive dashboards to communicate insights to business stakeholders;
  • Design and manage relational MSSQL, PostgreSQL, and NoSQL (MongoDB) databases for diverse use cases;
  • Implement secure and compliant pipelines including governance policies for sensitive data;
  • Integrate various data sources to streamline data processing and analysis using REST APIs;
  • Collaborate with data scientists to build pipelines for training and deploying machine learning models;
  • Work with cross-functional teams to gather requirements and deliver tailored data solutions;
  • Set up monitoring and alerting systems to ensure data pipeline health and reliability;
  • Use Docker to built and deploy applications and ensure consistency across development and production environments; and
  • Identify inefficiencies in existing workflows and implement process improvements to reduce costs.

This position is eligible for fully remote work from any location in the United States.

Minimum Requirements:
Master's degree or foreign equivalent in Computer Science, Electrical Engineering, Electronic Engineering, Information Systems or related field and 3 years of experience with Python, SQL, and ETL processes.

Experience must include the following, which may have been gained concurrently:

1) 3 years of experience with cloud platforms including AWS and Azure.
2) 3 years of experience using distributed computing frameworks including Spark, Databricks and Synapse.
3) 2 years of experience with orchestration tools including Apache Airflow.
4) 3 years of experience with data visualization tools including Power BI and Tableau.
5) 3 years of experience with database systems including SQL and NoSQL.
6) 3 years of experience using data governance, compliance, and security practices.
7) 3 years of experience with REST APIs and integration frameworks.
8) 3 years of machine learning and predictive modeling experience.
9) 3 years of experience with monitoring tools including Splunk and CloudWatch.
10) 2 years of experience using DevOps practices and containerization.

Salary: $137,946 per year

The role being advertised is an existing vacancy.

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact hr@manulife.com.

Referenced Salary Location

USA, California - Full Time Remote

Working Arrangement

Remote

Salary range is expected to be between

$90,160.00 USD - $167,440.00 USD

Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact hr@manulife.com for the salary range for your location.

Manulife/John Hancock offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension/401(k) savings plans and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in the U.S. includes up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time (or more where required by law) each year, and we offer the full range of statutory leaves of absence.

We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.

Know Your Rights I Family & Medical Leave I Employee Polygraph Protection I Right to Work I E-Verify

Company: John Hancock Life Insurance Company (U.S.A.)