Top 2263 Senior Data Engineer Jobs

Senior Data Engineer
Confidential —Remote
- $140,000 - $150,000 a year
- Full-time
- Remote
- Background check
- Computer Science
- Master's degree
- 401(k)
- Paid time off
Quick Apply
12h
Data Platform Engineer, Senior Associate
The Housing Partnership Network —Boston, MA
- $111,200 - $125,100 a year
- Hybrid work
- Computer Science
- Salesforce
- Mid-level
- Health savings account
- Paid holidays
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Senior Data AI Engineer
CNA Insurance —Chicago, IL
- $72,000 - $141,000 a year
- Full-time
- Hybrid work
- Computer science
- 5 years
- Experience equivalent to degree accepted
Senior Data/Visualization Engineer
Leidos —Fort Belvoir, VA
- $107,900 - $195,050 a year
- Full-time
- 6 years
- Computer Science
- Bachelor of Science
Senior Data Visualization and Augmented Analytics Engineer
Navy Federal Credit Union —Vienna, VA
- $130,500 - $179,500 a year
- Online Application
- Computer science
- Computer Science
- DevOps
Senior Data Engineer
Sightline Payments —Remote
- $140,000 - $160,000 a year
- Full-time
- Remote
- Computer science
- Azure
- Computer Science
- AD&D insurance
- Disability insurance
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Senior Data Engineer
AmeriSave Mortgage Corp. —Remote
- $100,000 - $170,000 a year
- 5 years
- Analysis skills
- Continuous improvement
- Paid training
- Paid holidays
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8d
Senior Data Engineer
Blue Orange Digital —New York, NY
- $10,500 - $12,250 a month
- Remote
- 5 years
- English
- Java
13d
Senior Data Engineer
Celigo —Remote
- $130,000 - $150,000 a year
- Remote
- Computer science
- Computer Science
- 5 years
- Parental leave
Quick Apply
Senior Data Engineer
Foodsmart —Remote
- $150,000 - $200,000 a year
- Full-time
- Remote
- 6 years
- Computer Science
- Java
- Health insurance
- Dental insurance
Quick Apply
Senior Data AI Engineer
CNA Insurance —Chicago, IL
- $72,000 - $141,000 a year
- Full-time
- Hybrid work
- Computer science
- 7 years
- Analysis skills
Senior Data Engineer
Apexon —Red Bank, NJ
- $90,000 - $100,000 a year
- Full-time
- Hybrid work
- 3 years
- SQL
- Senior level
- Paid parental leave
- Paid holidays
Quick Apply
Senior Data Engineer
Advantage Technical —Chicago, IL
- $55 - $64 an hour
- Temporary
- 6 years
- Computer Science
- Office
- Health savings account
- AD&D insurance
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Senior Data Engineer
Freddie Mac —Dallas, TX
- $116,000 - $174,000 a year
- Full-time
- 5 years
- System design
- Office
Senior Data Engineer
Brooksource —Tampa, FL
- $70 - $75 an hour
- Full-time
- Azure
- 6 years
- Computer Science
- Health insurance
- Dental insurance
Quick Apply
Senior Data Integration & API Engineer
Central Point Partners —Columbus, OH
- From $60 an hour
- Call employer
- Remote
- Computer science
- Computer Science
- 5 years
- Health insurance
- Dental insurance
Quick Apply
2d
Senior Geospatial Data Engineer
CACI —Denver, CO
- $90,300 - $189,600 a year
- Full-time
- Computer science
- Computer Science
- Bachelor of Science
- Health insurance
Senior IT Data Engineer
System One —Washington, DC
- Contract
- Computer science
- Azure
- Computer Science
- Health insurance
- Dental insurance
Quick Apply
Senior AWS Redshift Data Engineer (Contract | 1099)
Braintrust —Seattle, WA
- $140 - $173 an hour
- Full-time
- Remote
- 7 years
- Senior level
- Python
8d
Senior Data Engineer-Infrastructure as Code, Docker, AWS
INSPYR Solutions —Lake Buena Vista, FL
- $88 an hour
- Contract
- Hybrid work
- Computer science
- Computer Science
- SQL
- Health insurance
- 401(k)
Quick Apply

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Senior Data Engineer

Confidential
Remote

Quick Apply

Job Details

Full-time
$140,000 - $150,000 a year
12 hours ago

Benefits

401(k)
Paid time off
401(k) matching
Employee discount

Qualifications

Cloud analytics services
Power BI
Spark
Snowflake
SQL
AWS
Bachelor's degree
Query management
Python

Full Job Description

Senior Data Engineer

*NO H-1B Sponsorship

Actively work with business and other BI stakeholders to understand their needs and solution enhancements to the data warehouse
Be available for addressing issues or bugs in the present implementation
Design, build, and maintain data infrastructure, ETL processes, and data pipelines.
Design, build, and maintain data pipelines using Databricks
Configure and implement data sourcing events on Kafka
Build and optimize python/Pyspark framework
Maintain Snowflake and AWS data infrastructure
Work with Unstructured/Semi-Structured data and build reporting tables
Assist the BI Analyst to manage client reporting requirements
Build Data models and assist the BI Analyst to offer data-driven insights
Design data models and automate manual processes.
Create and execute a test strategy to ensure robustness of data pipelines
Ensure effectiveness on infrastructure consumption by implementing solutions that are optimized and scalable
Foster an environment that emphasizes trust, open communication, creative thinking, and cohesive team effort, across the business, IT and vendor teams

Deep Expertise in Databricks Spark:

Proficient in Databricks Spark: Exceptional skills in Databricks Spark for sophisticated data processing. Proven experience in leveraging Spark for complex ETL tasks, surpassing traditional data processing methods.
ETL Pipeline Mastery: Demonstrated excellence in designing and implementing ETL pipelines specifically within Databricks. Ability to utilize Spark's full capabilities to create efficient, scalable data pipelines.
Data Transformation and Analysis: Expert in data transformation using Databricks Spark, skilled in performing advanced data analytics and processing large datasets with high efficiency.
Optimization Techniques: Deep understanding of optimizing Databricks Spark applications for maximum performance, including fine-tuning Spark configurations, and memory management.

Integration with Confluent Kafka:

Kafka Exposure: Solid background in working with Confluent Kafka, particularly in integrating it with Spark-based systems for real-time data streaming and processing.
Efficient Data Pipelines: Proficiency in creating and managing data pipelines that seamlessly integrate Kafka with Databricks Spark, ensuring efficient data flow and processing.
Supporting integrations with business applications, using Kafka

DataOps and Agile Methodologies:

DataOps Principles: Strong grasp of DataOps methodologies, with a focus on improving the efficiency and quality of data analytics via automation, collaboration, and process optimization.
Agile Development: Experienced in Agile software development practices, adept at implementing Agile methodologies like Scrum or Kanban in data-centric projects for improved collaboration and rapid delivery.

Proficiency in SQL and Platform Integrations:

Advanced SQL Skills: Expertise in SQL, particularly for querying and managing tables/data warehouses within Snowflake. Ability to seamlessly integrate these with Databricks Spark.
Platform Adaptability: Skilled in adapting to and integrating various data platforms and technologies, aligning them with strategic organizational goals.

Collaborative and Best Practice-Oriented:

Adherence to High Standards: Committed to maintaining high standards in code quality, documentation, and adhering to DataOps and Agile best practices.
Team Collaboration and Leadership: Ability to work collaboratively in a team, fostering a culture of continuous learning and improvement.
Bachelor's or Master’s degree in Computer Science, Statistics, or Analytics.
Over 8 years of experience in the field of data engineering with capabilities on working through the entire development lifecycle
Ability to work with senior business stakeholders to be able to ascertain data needs out of business opportunities or challenges
Minimum of 5 years of cloud experience on any of the major cloud platforms preferably AWS
Hands-on Knowledge of Data Modeling, Warehousing and Power BI (or equivalent) as a Reporting Tool
Advanced proficiency in SQL with the ability to read and write queries is required
Demonstrable experience with Databricks, Snowflake, Python, and PySpark
Preferable to have experience with Kafka and Power BI

Pay: $140,000.00 - $150,000.00 per year

Benefits:

401(k)
401(k) matching
Employee discount
Paid time off

Education:

Bachelor's (Required)

Experience:

Data engineering: 8 years (Required)
AWS: 5 years (Required)
SQL: 5 years (Required)
Kafka: 3 years (Preferred)
Power BI: 3 years (Preferred)

Work Location: Remote

Quick Apply

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