Data Engineer Salary at 3Si BETA

How much does a 3Si Data Engineer make?

As of April 2025, the average annual salary for a Data Engineer at 3Si is $116,467, which translates to approximately $56 per hour. Salaries for Data Engineer at 3Si typically range from $105,485 to $125,648, reflecting the diverse roles within the company.

It's essential to understand that salaries can vary significantly based on factors such as geographic location, departmental budget, and individual qualifications. Key determinants include years of experience, specific skill sets, educational background, and relevant certifications. For a more tailored salary estimate, consider these variables when evaluating compensation for this role.

DISCLAIMER: The salary range presented here is an estimation that has been derived from our proprietary algorithm. It should be noted that this range does not originate from the company's factual payroll records or survey data.

Website:
team3si.com
Size:
<25 Employees
Revenue:
$5M - $10M
Industry:
Business Services

3SI is a growing and dynamic consultancy based in Seattle, WA. We offer rigorous analysis to help the social sector make decisions in real time, so they can expand and enhance their impact. Our consultants work with a diverse range of clients across multiple fields and focus areas. If you are interested in joining our dynamic team, check our Job Openings page for current opportunities.

See similar companies related to 3Si

What Skills Does a person Need at 3Si?

At 3Si, specify the abilities and skills that a person needs in order to carry out the specified job duties. Each competency has five to ten behavioral assertions that can be observed, each with a corresponding performance level (from one to five) that is required for a particular job.

  1. SQL: Structured Query Language) is a domain-specific language used in programming and designed for managing data held in a relational database management system (RDBMS), or for stream processing in a relational data stream management system (RDSMS).
  2. Python: Applying the concepts and algorithms of Python to design, develop and maintain software applications to comply with business requirements.
  3. Data engineering: Data engineering is the practice of designing and building systems for collecting, storing, and analyzing data at scale
  4. AWS: Amazon Web Services, Inc. is a subsidiary of Amazon that provides on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered pay-as-you-go basis.
  5. Big Data: Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many cases (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. Big data was originally associated with three key concepts: volume, variety, and velocity. Other concepts later attributed to big data are veracity (i.e., how much noise is in the data) and value. Current usage of the term big data tends to refer to the use of predictive analytics, user behavior analytics, or certain other advanced data analytics methods that extract value from data, and seldom to a particular size of data set. "There is little doubt that the quantities of data now available are indeed large, but that's not the most relevant characteristic of this new data ecosystem." Analysis of data sets can find new correlations to "spot business trends, prevent diseases, combat crime and so on." Scientists, business executives, practitioners of medicine, advertising and governments alike regularly meet difficulties with large data-sets in areas including Internet searches, fintech, urban informatics, and business informatics. Scientists encounter limitations in e-Science work, including meteorology, genomics, connectomics, complex physics simulations, biology and environmental research.

Related Jobs

Inficare Technologies
Seattle , WA

Job Title: Data Engineer Job Location: Seattle WA (Hybrid) Job Type: Contract Job Duration: 12 months Job Description: Skill : ADF, Snowflake, Data Warehousing Requirement: Develop, optimize, and maintain data pipelines using Azure Data Factory (ADF), DBT Labs, Snowflake, and Databricks. Develop reusable jobs and configuration-based integration framework to optimize development and scalability. Manage data ingestion for structured and unstructured data ( landing/ lake house: ADLS, Sources: ADLS, Salesforce, SharePoint Documents Libraries, Partner Data: DHS, IHME, WASDE etc. ). Implement and optimize ELT processes, source-to-target mapping, and transformation logic in DBT Labs, Azure Data Factory, Databricks Notebook, Snow SQL etc. Collaborate with data scientists, analysts, data engineers, report developers and infrastructure engineers for end-to-end support. Co-develop CI/CD best practices, automation, and pipelines with Infrastructure engineers for code deployments using GitHub Actio


Sponsored
4/22/2025 12:00:00 AM
Amazon
Seattle , WA

Description Senior Data Engineer Come build the future as a Senior Data Engineer at Amazon, where you will be inspired working along best-in-class inventors and innovators! You will have the opportunity to create meaningful experiences that deliver on the ever-evolving needs of our customers, and your work will impact millions of people around the world. As an Amazon Senior Data Engineer, you will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable. You will find that there is an unlimited number of opportunities within Amazon, where developing your career across a wide range of teams is highly support-ed. We are committed to making your work experience as enjoyable as the experiences youll be creating for our customers. Apply now and you will be eligible for Amazon Senior Data Engineer positions that are based on your preferred location, team, and more. Were hiring across Amazon Stores in the United States a


Sponsored
4/22/2025 12:00:00 AM
INSPYR Solutions
Bellevue , WA

Data Engineer II Location: Bellevue, WA (Hybrid) Duration: 11+ month contract (possible extension) The Data Engineer will join a critical central infrastructure team to support the build out and integration of new global data pipelines. You will take ownership of key ETL deliverables and drive their completion from end to end. You will be working with very large data sets, well beyond the scalability limits of conventional relational databases. We're looking for people who innovate, love solving hard problems, and never take "no " for an answer. You will have the opportunity to research and work with cutting edge technologies, as well as expand into new projects. A successful candidate will have the following experience: 7+ years of data engineering experience 5+ years of experience with AWS , including services such as S3, AWS Glue, Lambda, EMR, Kinesis, FireHose Strong scripting experience with at least one modern scripting/programming language such as Java, Python, or similar Strong


Sponsored
4/20/2025 12:00:00 AM
Efficus, Inc.
Seattle , WA

Role Description - Contractor Position Role DESCRIPTION Outline of the Role: Principal Duties and Responsibilities: Advanced Data Modeling: Build and optimize complex data models to meet the needs of business users, enhancing their ability to make informed decisions. Data Analysis and Stakeholder Engagement: Utilize advanced analytical tools and frameworks to interpret and present data and models, effectively engaging and influencing stakeholders. Reporting and Support: Provide ongoing support for daily reporting and data modeling tasks, ensuring timely and accurate delivery of information to support business decisions. Production Support and Troubleshooting: Address and resolve production issues related to application functionality and integrations, particularly post-implementation, to ensure continuous system performance. Continuous Improvement: Monitor system performance and user feedback to identify opportunities for improvement, and recommend enhancements to optimize business proc


Sponsored
4/20/2025 12:00:00 AM
Efficus, Inc.
Seattle , WA

Data Quality Engineer Who we are? we are a yoga-inspired technical apparel company up to big things. The practice and philosophy of yoga informs our overall purpose to elevate the world through the power of practice. We are proud to be a growing global company with locations all around the world, from Vancouver to Shanghai, and places in between. We owe our success to our innovative product, our emphasis on our stores, our commitment to our people, and the incredible connections we get to make in every community we are in. About this team The Data Quality Engineer will be part of the cross-region data engineering team, leveraging and enhancing test automation frameworks for batch and real-time data ingestion from multiple data sources into Snowflake and BigQuery, as well as reporting data out from these platforms. The ideal candidate will work with cross-functional teams to analyze the data with minimal supervision and perform end-to-end testing. Additionally, the candidate will design


Sponsored
4/18/2025 12:00:00 AM
Diverse Lynx
Seattle , WA

Data Engineer (Java/Python, Spark SQL, Hadoop, Hive, Databricks , AWS, GCP or Azure) Seattle, WA Contract Role Onsite from Day 1 Essential Skills: Software development experience in big data technologies Databricks, Hadoop, Hive, Spark(PySpark) Proficiency in data processing using technologies like Spark Streaming, Spark SQL, Summary of Key Responsibilities and essential job functions include but are not limited to the following: Leads large-scale, complex, cross-functional projects build technical roadmap for the WFM Data Services platform . Leading and reviewing design artifacts Build and own the automation and monitoring frameworks that showcase reliable, accurate, easy-to-understand metrics and operational KPIs to stakeholders for data pipeline quality Execute proof of concept on new technology and tools to pick the best tools and solutions Supports business objectives by collaborating with business partners to identify opportunities and drive resolution.? Communicating status and


Sponsored
4/18/2025 12:00:00 AM
Futran Tech Solutions Pvt. Ltd.
Bellevue , WA

Need a Data engineer who has the following skills Its a Individual contributor role Design and develop scalable data pipelines using Azure Data Factory ADF to automate the extraction transformation and loading ETL of data from various sources into Azurebased data platforms Leverage Kusto Azure Data Explorer for interactive data exploration and analysis to support business intelligence reporting and visualization needs Create and maintain interactive dashboards and reports using Power BI and Grafana providing actionable insights to business stakeholder Ensure accurate extraction and transformation of data from various relational and nonrelational sources Ensure data quality integrity and security across all platforms adhering to best practices and company standards for data governance Troubleshoot and resolve performance issues related to ADF pipelines Kusto functions and other data systems Continuously optimize data systems for better scalability and performance Work closely with cross


Sponsored
4/18/2025 12:00:00 AM
Payscale
Seattle , WA

Description Are you passionate about empowering teams to make data-driven decisions? Do you find yourself excited about the possibilities that more data can unlock? Payscale is seeking a seasoned engineer to join our Data Engineering Team. Our team focuses on enabling fast, accurate, and reliable access to data by building robust data pipelines, managing our data warehouse, and supporting the productization of our data. Responsibilities: Manage the data warehouse. Maintain and build new data pipelines. Partner with our platform, architectural and product development teams to design and influence modern architectural solutions. Collaborate with various teams (Data Science, Data Analytics, Application Engineering, Sales, Customer-Facing Teams) to meet their data access needs. Evangelize best practices for data utilization, data modeling, cost efficiency, and query optimization among stakeholders, junior engineers, and warehouse consumers. Research and advise on modern data engineering te


Sponsored
4/18/2025 12:00:00 AM

Check more jobs information at 3Si

Job Title Average 3Si Salary Hourly Rate
2 Consultant $103,187 $50
3 Technical Project Manager $150,181 $72
4 Manager $101,102 $49
5 Analytics Consultant $125,656 $60
6 BI Engineer $98,109 $47

Hourly Pay at 3Si

The average hourly pay at 3Si for a Data Engineer is $56 per hour. The location, department, and job description all have an impact on the typical compensation for 3Si positions. The pay range and total remuneration for the job title are shown in the table below. 3Si may pay a varying wage for a given position based on experience, talents, and education.
How accurate does $116,467 look to you?

FAQ about Salary and Jobs at 3Si

1. How much does 3Si pay per hour?
The average hourly pay is $56. The salary for each employee depends on several factors, including the level of experience, work performance, certifications and skills.
2. What is the highest salary at 3Si?
According to the data, the highest approximate salary is about $125,648 per year. Salaries are usually determined by comparing other employees’ salaries in similar positions in the same region and industry.
3. What is the lowest pay at 3Si?
According to the data, the lowest estimated salary is about $105,485 per year. Pay levels are mainly influenced by market forces, supply and demand, and social structures.
4. What steps can an employee take to increase their salary?
There are various ways to increase the wage. Level of education: An employee may receive a higher salary and get a promotion if they obtain advanced degrees. Experience in management: an employee with supervisory experience can increase the likelihood to earn more.