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Seasonal Data Engineer Python Jobs in Fall River, MA

Sr Talend Data Engineer

Johnston, RI ยท On-site

$56 - $74.25/hr

Scripting language (shell scripting, SQL, PL/SQL, Python, Java , Spark, Scala) * Experience with ... Data engineering experience for Data science projects where Machine learning is used (R, SAS, etc.

Lead Data Engineer

Carolina, RI ยท Remote

$157K - $223K/yr

Responsible for all phases of data processing system projects, from requirements definition to ... Requires experience with Java, C#, Python, PL/SQL, and SQL. Requires experience with Oracle, DB2 ...

Lead Data Engineer

Carolina, RI ยท Remote

$157K - $223K/yr

Responsible for all phases of data processing system projects, from requirements definition to ... Requires experience with Java, C#, Python, PL/SQL, and SQL. Requires experience with Oracle, DB2 ...

Python Tutor

Providence, RI ยท Remote

$40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Data Platform Tech Lead

Fall River, MA ยท Remote

$70 - $80/hr

Lead and mentor a data engineering team while remaining hands-on, helping modernize the data ... Manage and improve Snowflake, Matillion, dbt, Power BI, and Python-based solutions. * Help ...

... Python preferred)Solid experience in writing complex SQL queriesHand-on experience with performance optimization and tunning approaches, SQL TuningFamiliarity with ETL tools (Informatica) and data ...

Showing results 41-60

Seasonal Data Engineer Python information

See Fall River, MA salary details

$46.2K

$165.7K

$244.4K

How much do seasonal data engineer python jobs pay per year?

As of Sep 10, 2026, the average yearly pay for seasonal data engineer python in Fall River, MA is $165,652.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,000.00 and $170,700.00 per year, depending on experience, location, and employer.

What is the difference between Seasonal Data Engineer Python vs Data Analyst?

AspectSeasonal Data Engineer PythonData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; Python proficiency; SQL knowledgeBachelor's in Statistics, Math, or related; Excel, SQL, and data visualization skills
Work EnvironmentProject-based, often in tech or finance sectors, with focus on data pipelinesBusiness-focused, in various industries, analyzing data to inform decisions
Employer & Industry UsageTech companies, finance, retail during seasonal peaksCorporate, marketing, healthcare, and other sectors
Common Search & ComparisonYesYes

Seasonal Data Engineer Python roles focus on building and maintaining data pipelines using Python, especially during peak seasons. Data Analysts interpret data to generate insights and reports. While both roles require data skills, Data Engineers are more technical and infrastructure-oriented, whereas Data Analysts focus on analysis and visualization.

Sr Talend Data Engineer

Johnston, RI โ€ข On-site

$56 - $74.25/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago


Job description


4 Days in the office from any of our locations in RI,Iselin NJ, MA, Pittsburgh PA, Nashville TN, and couple other locations
Role is not relocation eligible.
At Citizens, we're more than a bank. Here, you'll experience new things, create new opportunities, think beyond your role and make an impact!
While in this position, you will work independently while engaging in the design, model and implementation of enterprise data warehousing activities in support of projects and defect remediation process. You will also, participate in and lead segments in the programming and configuration of warehouses on database, and provide independent support to warehouse users. You will also assist with designing, implementing and supporting solutions that meet business requirements related to data warehouses, data marts or operational data stores primarily using ETL. Lastly, you will work with application architects to implement enhancements to systems and remediate existing code.
Most importantly, you'll feel valued for who you are and supported to achieve what's important to you, personally and professionally!
Primary responsibilities include
  • Be a strong contributor in implementing data integration architecture and solutions.
  • Conduct source system/data analysis and data profiling.
  • Build robust data pipelines to collect, process and compute different metrics from various financial sources, adhering to quality and development standards.
  • Design application architecture / technical design and articulate the data pipeline solutions to team members.
  • Data mapping from source to target and define transformation rules that meet the models created by data Architects.
  • Collaborate with cross functional team members as necessary and come up with optimal solutions that meet data demands.
  • Execute unit test of data populated in target data container, validate expected result and ensure quality & accuracy.
  • Coordinate with business users for user acceptance test and with operations team for code deployment to upper environments.
  • Follow change management team stipulations on path to production requirements and strictly adhere to the compliance and regulatory needs.

Qualifications, Education, Certifications and/or Other Professional Credentials
  • Required Qualifications
    • Bachelor's Degree in Analytics, Mathematics, Statistics or Computer Science
    • Hands on experience in building data solutions in big data / cloud platforms.
    • Experience with Hadoop ecosystem (HDFS, Hive, PIG, Hbase, Hiveql etc.)
    • Experienced in ETL/ELT tools such as Talend, Datastage, Informatica, and Sqoop as well as building/enhancing ETL framework.
    • RDBMS experience in either of Teradata, Oracle, MS-SQL, DB2, RedShift, Snowflakes, etc.
    • Scripting language (shell scripting, SQL, PL/SQL, Python, Java , Spark, Scala)
    • Experience with AWS cloud native services such as S3, RDS, Glue, Athena, etc.
    • Worked with any of the scheduling tools (Autosys, Tidal, Oozie)
    • SCM tool such as Bitbucket with Jira, Starteam or SVN.
    • Experience working with various operating systems (Windows, Unix/Linux, IBM Mainframe)
    • Strong communicator and collaborator with attention to details.
    • Performance tuning and optimization of code and peer code reviews.
    • 5+ years of professional work experience as described above.
  • Preferred Qualifications
    • BigData Technology/AWS/Agile Certifications
    • Data engineering experience for Data science projects where Machine learning is used (R, SAS, etc.)
    • Experience in the financial services industry, especially banking.
    • Business Intelligence/Reporting development experience using tools such as Tableau, Cognos, SAS, etc.
    • Code commits to any Open source data tools.
    • Experience with handling structured, semi-structured and unstructured data.

Hours & Work Schedule
  • Hours per Week: 40
  • Work Schedule: Monday - Friday
  • Hybrid schedule: 4 days in office, 1 day WFH is required for this role.
    Pay Transparency
    The salary range for this position is $ 105,100 - $ 157,680 per year plus an opportunity to earn an annual discretionary bonus. Actual pay is based on various factors including but not limited to the work location, and relevant skills and experience.
    We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens' paid time off policy exceeds the mandatory, paid sick or paid time-away policy of very local and state jurisdiction in the United States. For an overview of our benefits, visit https://jobs.citizensbank.com/benefits.

About Us
Equal Employment Opportunity
Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.
Equal Employment and Opportunity Employer
Job Applicant Data Privacy Policy
Background Check
Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information.