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Senior Big Data Engineer Jobs in Bothell, WA (NOW HIRING)

Big Data Engineer

Renton, WA ยท On-site

$63 - $83.25/hr

Big Data Engineer Location: Renton, Washington Duration: 6 Months Top Three Skills: * 5-years in SQL, SQL Server, Oracle, JDBC * 5-years in Hadoop, HDFS, MapReduce, YARN * 5-years in Sqoop, Oozie ...

Big Data developer

Redmond, WA ยท On-site

$59.25 - $77/hr

Big Data developer Redmond, WA Long term Contract (On W2) Need a Strong candidate with Big data and Kafka โ€ข Provide thought leadership for the MFS data platform team and collaborate with cross ...

Big Data developer

Redmond, WA

$59.25 - $77/hr

Big Data developer Redmond, WA Long term Contract (On W2) Need a Strong candidate with Big data and Kafka Provide thought leadership for the MFS data platform team and collaborate with cross ...

Big data

Bellevue, WA

$59.75 - $77.50/hr

Big data Location: Bellevue, WA Must Have Skills (Top 3 technical skills only) * 1. Accumulo handson 2. Hbase handson 3. BigData development experience Detailed Developer with handson capacity to ...

Sr Data Engineer

Seattle, WA ยท On-site

$148K - $199K/yr

Job Posting Title: Sr Data Engineer Req ID: 10145881 The Senior Data Engineer will design, build ... Strong conceptual understanding of security at rest and in transit for big data pipelines

Data Engineer

Bellevue, WA ยท On-site

$129K - $155K/yr

Knowledge of Big Data pipelines, Data Engineering * Working Knowledge of the MSBI stack on Azure * Working Knowledge of Azure Data factory, Azure Data Lake, and Azure Data lake storage * Hands-on in ...

... big data stack You should have deep expertise and passion in working with large data sets, data ... senior leadership. Empower technical and non-technical, internal customers to drive their own ...

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Showing results 1-20

Senior Big Data Engineer information

See Bothell, WA salary details

$17

$70

$98

How much do senior big data engineer jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for senior big data engineer in Bothell, WA is $70.41, according to ZipRecruiter salary data. Most workers in this role earn between $59.90 and $79.28 per hour, depending on experience, location, and employer.

What is the difference between Senior Big Data Engineer vs Data Architect?

AspectSenior Big Data EngineerData Architect
CredentialsBachelor's/Master's in CS, Data Science, or related; experience with Hadoop, SparkBachelor's/Master's in CS, Data Science, or related; certifications like TOGAF, cloud architecture
Work EnvironmentDevelops, implements, and maintains data pipelines and systemsDesigns overall data infrastructure and architecture strategy
Employer & Industry UsageTech companies, finance, healthcare, retailLarge enterprises, consulting firms, cloud providers
Search & Comparison IntentUnderstanding technical roles, skills, and responsibilitiesFocus on data system design and strategic planning

While both roles work with data systems, a Senior Big Data Engineer primarily develops and maintains data pipelines and systems, whereas a Data Architect designs the overarching data infrastructure and strategy. The roles often collaborate but differ in scope and focus within data management.

How does a senior big data engineer collaborate with data scientists and business stakeholders?

As a Senior Big Data Engineer, you'll frequently work alongside data scientists to design and maintain data pipelines that ensure reliable and accessible data for modeling and analytics. Collaboration with business stakeholders is also essential, as you'll help translate business requirements into technical data solutions, ensuring that data architecture supports organizational goals. Regular meetings, code reviews, and cross-team project planning are common, making strong communication and a collaborative mindset vital for success in this role.

What skills and qualifications are needed to be a senior big data engineer?

To thrive as a Senior Big Data Engineer, you need advanced expertise in data architecture, distributed computing, and programming languages such as Java, Scala, or Python, typically backed by a degree in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, Kafka, and cloud platforms, as well as relevant certifications (e.g., Cloudera, AWS), is highly valuable. Strong problem-solving, communication, and leadership skills set outstanding candidates apart, especially when collaborating with cross-functional teams. These competencies are critical for designing scalable data solutions, ensuring data quality, and driving impactful business insights.

What is a senior big data engineer?

Senior Big Data Engineers are advanced-level professionals who design, build, and maintain large-scale data processing systems. They work with technologies such as Hadoop, Spark, and NoSQL databases to handle massive amounts of data efficiently. Their responsibilities often include optimizing data pipelines, ensuring data quality, and collaborating with data scientists and analysts to support business needs. Senior Big Data Engineers also mentor junior team members and help drive architectural decisions related to data infrastructure.
What are popular job titles related to Senior Big Data Engineer jobs in Bothell, WA? For Senior Big Data Engineer jobs in Bothell, WA, the most frequently searched job titles are:
What cities near Bothell, WA are hiring for Senior Big Data Engineer jobs? Cities near Bothell, WA with the most Senior Big Data Engineer job openings:
Infographic showing various Senior Big Data Engineer job openings in Bothell, WA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $146,444 per year, or $70.4 per hour.

$63 - $83.25/hr

Full-time

Re-posted 15 days ago


Job description

Role: Big Data Engineer
Location: Renton, Washington
Duration: 6 Months
Top Three Skills:
  • 5-years in SQL, SQL Server, Oracle, JDBC
  • 5-years in Hadoop, HDFS, MapReduce, YARN
  • 5-years in Sqoop, Oozie, Parquet, Hive, Impala, Spark, HBase, HUE

Job Description:
Client is looking for a Big Data, Data Engineer.
  • This is deployed on the Microsoft Azure platform using core Cloudera technologies such as Cloudera Director 2.1, CDH 5.7, and Cloudera Manager along with Apache Hive, Yarn, HBase, and Spark.
  • Cloudera based data lake
  • CDH 5.7.3 on Azure cloud platform
  • Moving data from large SQL Server based tables into lake is biggest challenge
  • Concerns around Incremental data load strategy
  • Performance and Scalability issues in order to meet SLA with business teams
  • Limited internal bandwidth and skill set on No SQL database (Hbase)
  • Data Source - Epic (Clarity DB)
  • Mostly all structure data sets to ingest to lake
  • Large volume of data in some tables

Please Fill up following details and send me back ASAP if you're interested in this Position.
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References:
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Full Name
Company
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Syed Raza
585 532 7200 Ext 9002
Syed.j@avanitechsolutions.com