Data Engineer Salary at Synechron Inc BETA

How much does a Synechron Inc Data Engineer make?

As of April 2025, the average annual salary for a Data Engineer at Synechron Inc is $178,833, which translates to approximately $86 per hour. Salaries for Data Engineer at Synechron Inc typically range from $161,979 to $193,048, 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.

Synechron Inc Overview

Website:
synechron.com
Size:
7,500 - 15,000 Employees
Revenue:
$1B - $3B
Industry:
Software & Networking

Synechron, headquartered in New York, New York, is a consulting and technology organization that provides solutions to the financial services industry through its three main business focus areas: digital, business consulting, and technology.

See similar companies related to Synechron Inc

What Skills Does a person Need at Synechron Inc?

At Synechron Inc, 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

Johnson Controls
San Pedro Garza Garcia , NLE

What you will do? Join us in the Procurement Execution Center (PEC) as a Data Engineer as part of a is a diverse team of data and procurement individuals. In this role, you will be responsible for deploying supporting the E2E management of our data, including: ETL/ELT, DW/DL, data staging, data governance, and manage the different layers of data required to ensure a successful BI & Reporting for the PEC. This role will work with multiple types of data, spreading across multiple functional areas of expertise, including Logistics, MRO & Energy, Travel, Professional Services, among others. How you will do it? Deploy data ingestion processes through Azure Data Factory to load data models as required into Azure Synapse. Build and design ETL/ELT processes with Azure Data Factory (ADF) and/or Python, which once deployed, will require to be executed daily and weekly. Assemble large, complex data sets that meet functional / non-functional business requirements. Build the infrastructure required


Sponsored
4/8/2025 12:00:00 AM
Leidos
Shropshire , Shropshire

Description THE ROLE YOU WILL PLAY We are looking for a Lead Data Engineer to join us on a permanent basis. We need talented individuals to apply their data engineering and software development skills for solving data challenges to support a major UK Government programme from locations throughout the UK. You will work closely with delivery managers, fellow technical specialists, external partners and our customer’s teams to support the discovery, design, delivery and operation of a wide range of data solutions. It is a great place to be able to use your skills, learn from others and form one of the best performing teams in the business. This position is a full time, permanent role and applicants must have (or be able to acquire) SC clearance. Ad-hoc travel may be required to various customer and Leidos sites Your responsibilities will include: Lead and co-ordinate teams, setting best practice and standards Design and implementation of numerous complex data flows to connect operational


Sponsored
4/8/2025 12:00:00 AM
Blue Shield of California
Oakland , CA

Your Role The Data Engineering development team is responsible for design, development, test and deployment of large enterprise data warehouse/BI data solutions using both on-prem and cloud technologies. The Data Engineer, Senior will report to the Manager, Data Engineering Development. In this role you will be responsible for design, development, and implementation of data integration, data warehouse and data mart (ELT/ETL) solutions using on-prem as well as Cloud technologies. Your Work In this role, you will: Build data pipelines: Create, maintain, and optimize workloads from development to production for specific use cases Use innovative and modern tools, techniques and architectures listed below to drive automation of most-common, repeatable data preparation and integration tasks with goal of minimizing reducing defects and improving productivity Develop and enforce data integration and data quality standards across all development initiatives according to the organization’s Enter


Sponsored
4/6/2025 12:00:00 AM
BP Energy
Pune , MH

Entity: Technology Job Family Group: IT&S Group Job Description: Let me tell you about the role A data engineer designs, constructs, installs, tests, and maintains highly scalable data management systems. They are responsible for building the infrastructure that allows for the generation, collection, and analysis of large datasets. Key responsibilities include developing, constructing, testing, and maintaining architectures such as databases and large-scale processing systems, ensuring that architectures support data analytics, and preparing data for prescriptive and predictive modeling. Data engineers also develop data set processes for data modeling, mining, and production, integrate new data management technologies and software engineering tools into existing structures, and collaborate with data scientists and analysts to ensure data accuracy and accessibility. They play a critical role in enabling the data-driven decision-making process by ensuring that data pipelines are robust,


Sponsored
4/3/2025 12:00:00 AM
BP Energy
Budapest ,

Entity: Technology Job Family Group: IT&S Group Job Description: An exciting new job opportunity has arisen for a Data Engineering Analyst to join us in Budapest. We are a global energy business involved in every aspect of the energy system. We are working towards delivering light, heat and mobility to millions of people, every day. We are one of the very few companies equipped to tackle some of the big complex challenges that matter for the future. We have a real contribution to make to the world's ambition of a low carbon future. Join us, and be part of what we can accomplish together. You can participate in our new ambition to become a net zero company by 2050 or sooner, and to help the world get to net zero. Critical to achieving bp’s digital ambitions is the delivery of our high value data and analytics initiatives, and the enablement of the technologies and platforms that will support those objectives. We are developing deep data capability to transform the access, supply, contro


Sponsored
4/2/2025 12:00:00 AM
NIKE
Karnataka , Karnataka

WHO YOU’LL WORK WITH A data engineer will work in the Data and Artificial Intelligence organisation of Nike and will focus on building highly complex and performant data pipelines that'll drive Nike's data driven strategies for the future of sports. WHO WE ARE LOOKING FOR In this role, we are looking for self-driven individuals who have deep technical knowledge in the big data domain. This role requires the individual to be an excellent problem solver who'll design and implement complex data pipelines which solve business problems of Nike. The core competencies required for this role include - Bachelor’s degree in computer science engineering 3+ years of hands-on experience in data engineering field In depth big data tech stack knowledge Expertise in pyspark and SQL Expertise in databricks, snowflake, airflow Excellent written and verbal communication skills WHAT YOU’LL WORK ON As a data engineer you'll be a key pillar of the data engineering team. You will collaborate closely with oth


Sponsored
4/2/2025 12:00:00 AM
BP Energy
Pune , MH

Entity: Technology Job Family Group: IT&S Group Job Description: About bp bp is a global energy business with a purpose to reimagine energy for people and our planet. We aim to be a very different kind of energy company by 2030, helping the world reach net zero and improving people’s lives. We are committed to creating a diverse and inclusive environment where everyone can thrive. Join bp and become part of the team building our future! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Let me tell you about the role A data engineer designs, constructs, installs, tests, and maintains highly scalable data management systems. They are responsible for building the infrastructure that allows for the generation, collection, and analysis of large datasets. Key


Sponsored
3/27/2025 12:00:00 AM
Leidos
Farnborough , HAM

Description Data Engineer Location: Farnborough, UK (Hybrid Working Policy) Clearance: High level of security clearance - (SC/ DV -Developed Vetting) UNLEASH YOUR POTENTIAL Everything we do is built on a commitment to do the right thing for our customers, our people and our community. Our mission and our values guide the way we do business. The foundation of our Leidos culture is our Values, Beliefs and Expectations by which we select, recognise and reward employees. They create the environment that drives us toward our mission.Inspired to make a difference, we are committed to solving the world’s toughest problems. Passionate about customer success by being determined to understand and respond to our customers’ needs as if they were our own. United as a team, we are bound together by our conviction that ethics and integrity is core to how we operate. Because of a key strategic development and a new exciting business opportunity, we have a requirement for a security-cleared Data Engine


Sponsored
3/26/2025 12:00:00 AM

Check more jobs information at Synechron Inc

Job Title Average Synechron Inc Salary Hourly Rate
2 Web Developer $127,118 $61
3 Account Executive $106,161 $51
4 Account Manager $111,988 $54
5 Admin $73,895 $36
6 Administrative Officer $63,746 $31
7 Administrative Secretary $58,793 $28
8 Application Architect $223,369 $107
9 Application Developer $161,579 $78
10 Application Engineer $110,423 $53
11 Assistant Manager, Projects $163,292 $79
12 Assistant Manager, QC $143,711 $69
13 Assistant Manager, Quality $134,136 $64

Hourly Pay at Synechron Inc

The average hourly pay at Synechron Inc for a Data Engineer is $86 per hour. The location, department, and job description all have an impact on the typical compensation for Synechron Inc positions. The pay range and total remuneration for the job title are shown in the table below. Synechron Inc may pay a varying wage for a given position based on experience, talents, and education.
How accurate does $178,833 look to you?

FAQ about Salary and Jobs at Synechron Inc

1. How much does Synechron Inc pay per hour?
The average hourly pay is $86. 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 Synechron Inc?
According to the data, the highest approximate salary is about $193,048 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 Synechron Inc?
According to the data, the lowest estimated salary is about $161,979 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.