0 Negotiable or Not Mentioned
USA, McLean, VA
27 days ago
S3Connections.com
2577 Views
We are seeking a highly skilled Senior Data Engineer to design, develop, and optimize scalable data platforms that transform complex data into meaningful business insights. The ideal candidate will have strong expertise in SQL, Python, and ETL development, along with experience supporting cloud-based data migration and modern data ecosystems. You will be responsible for building and maintaining scalable ETL/data pipelines for structured and unstructured data while ensuring high-performance data solutions through advanced techniques. The role requires a presence onsite in McLean, VA, for five days a week to ensure close collaboration with team members and stakeholders.
The role involves collaborating with cross-functional teams to enhance data quality, accessibility, and system performance. You will implement best practices for data engineering, code quality, testing, and deployment. Additionally, the candidate will support cloud data migration initiatives, including data mapping, transformation, validation, and optimization. This position is critical for optimizing data workflows and ensuring high availability and reliability of data systems within an enterprise environment. Candidates should be prepared to create and maintain comprehensive technical documentation and data flow diagrams to support the platform's evolution.
Key Requirements
8+ years of experience as a Data Engineer
Strong expertise in SQL and Python
Hands-on experience building and maintaining ETL pipelines in enterprise environments
Experience working with large datasets and complex data architectures
Experience with cloud platforms such as AWS, Azure, or GCP
Strong understanding of data modeling, data warehousing, and data transformation techniques
Experience in data migration and integration projects
Excellent problem-solving, analytical, and communication skills
Familiarity with orchestration tools like Airflow
Experience with CI/CD tools such as GitHub or Jenkins
~11,666 Mentioned
United States, New York
7 days ago
gmail.com
1154 Views
We are actively seeking a highly skilled Senior Data Engineer to build and scale modern data infrastructure for a fast-growing organization within the Financial Services and Data & Analytics industry. In this role, you will play a critical part in designing, developing, and optimizing data pipelines and architectures that support advanced analytics and critical business intelligence initiatives. You will be responsible for ensuring the scalability and performance of data systems while maintaining the highest standards of data quality and governance.
The ideal candidate will have extensive experience in building scalable ETL/ELT pipelines and maintaining robust data warehouses and data lakes. You will work with large-scale structured and unstructured datasets, collaborating closely with data scientists and analysts to provide the foundational data structures needed for complex modeling. The position offers a competitive package ranging from $140,000 to $200,000 annually, plus bonuses and full benefits, based in New York.
Key Requirements
5+ years of professional experience in data engineering roles.
Strong proficiency in programming languages, particularly Python.
Advanced knowledge of SQL for complex data manipulation and querying.
Hands-on experience with Apache Spark for large-scale data processing.
Extensive experience with cloud platforms such as AWS, Azure, or GCP.
Proven track record with data warehousing solutions and architecture.
Strong understanding of big data technologies and distributed systems.
Ability to design and build scalable ETL and ELT pipelines.
Proficiency in maintaining and optimizing data lakes for performance.
Excellent collaboration skills for working with data scientists and analysts.
Experience in ensuring data quality, integrity, and corporate governance.
0 Negotiable or Not Mentioned
USA, Mclean, VA
14 days ago
momentousa.com
1355 Views
Momentousa is hiring a Senior Data Engineer for an onsite W2 position located in McLean, VA. This role is ideal for a seasoned professional with deep expertise in big data technologies and data warehousing. You will be responsible for designing, building, and maintaining scalable data pipelines that process vast amounts of information to support our analytics and business intelligence initiatives.
The successful candidate will work extensively with AWS services, Spark, and Pyspark to transform raw data into actionable insights. You will leverage your advanced SQL skills and Python knowledge to model data and optimize database performance. This role demands a high level of technical proficiency in Hive and general data modeling principles to ensure our data architecture is robust, efficient, and capable of supporting complex business queries.
Key Requirements
Significant experience with AWS cloud data services
Expert-level knowledge of Spark and Pyspark for data processing
Advanced proficiency in SQL, including basic and complex query optimization
Strong backend development skills using Python
Practical experience with Hive for data warehousing and querying
Proven ability in Data Modelling and architecture design
Experience building and maintaining robust ETL pipelines
Knowledge of performance tuning for big data applications
Ability to work onsite in McLean, VA on a regular basis
Strong analytical skills to interpret complex data sets
0 Negotiable or Not Mentioned
USA, Pittsburgh
24 days ago
skilzmatrix.com
2126 Views
PNC is currently seeking a highly experienced Super Senior Data Engineer with over 10 years of professional experience to join their team in Pittsburgh, PA. The successful candidate will play a critical role in designing, building, and maintaining scalable data pipelines leveraging the full suite of AWS cloud services. This position involves developing and optimizing sophisticated ETL and ELT workflows to handle both structured and semi-structured data, ensuring that high-performance analytics are available for business decision-making. Working within an agile environment, the role demands a expert-level understanding of data processing jobs using Python and PySpark.
In addition to pipeline construction, the engineer will be responsible for integrating and managing data within the Snowflake cloud data warehouse. This includes writing complex SQL queries for data transformation and validation, as well as supporting Power BI dashboards by delivering curated, analytics-ready datasets. Candidates must demonstrate a strong commitment to data quality, governance, performance, and security best practices. This role is offered on a W2 basis and is ideal for individuals with prior experience in the financial services or banking domain who are looking to apply their technical leadership in a dynamic corporate environment.
Key Requirements
Minimum of 10 years of professional experience in Data Engineering or a related field.
Advanced proficiency in SQL, including complex querying and performance tuning.
Extensive experience designing and maintaining scalable data pipelines on AWS.
Expert knowledge of Python and PySpark for large-scale data processing.
Hands-on experience with Snowflake cloud data warehouse management and integration.
Proven ability to develop and optimize ETL/ELT workflows for various data formats.
Experience supporting Power BI through data modeling and performance optimization.
Familiarity with AWS services such as S3, Glue, EMR, Lambda, and Redshift.
Strong understanding of data quality frameworks, governance, and security best practices.
Ability to work effectively in an Agile/Scrum environment with cross-functional teams.
0 Negotiable or Not Mentioned
USA, Malvern, PA
22 days ago
judge.com
1212 Views
This position is for an AWS Data Analytics Engineer located in Malvern, Pennsylvania. The role follows a hybrid model requiring the candidate to be onsite from day one. The initial contract length is for one year, with a strong likelihood of being extended for multiple years. The recruitment process includes a video interview, and candidates are welcome to apply via C2C arrangements.
Technical responsibilities focus on utilizing Python and SQL for complex data queries and manipulation. The successful candidate will also be responsible for creating data visualizations and dashboards using Tableau and leveraging various AWS cloud services to manage and analyze large datasets. Applicants must submit their resume along with a copy of their work authorization for consideration.
Key Requirements
Proficiency in Python programming for data engineering tasks.
Strong expertise in SQL for performing complex data queries.
Extensive experience with Tableau for data visualization and reporting.
In-depth knowledge of AWS services related to data analytics.
Ability to work onsite in Malvern, PA following a hybrid model.
Minimum of 1+ year experience in a similar data analytics role.
Experience with cloud-based data warehousing and architecture.
Strong analytical and problem-solving skills.
Ability to participate and perform well in video interviews.
Must provide valid work authorization documentation.
Experience with C2C project delivery models.
Excellent communication and collaboration skills.
0 Negotiable or Not Mentioned
USA, Philadelphia
24 days ago
keypixelusa.com
1588 Views
We are seeking a highly skilled and experienced Data Architect with specific expertise in the Health Care Payer Domain to join our team in Philadelphia, PA. The ideal candidate will have over 15 years of professional experience in data architecture and a deep understanding of how to manage and structure data within the healthcare insurance sector. You will be responsible for designing, creating, deploying, and managing our organization's data architecture, ensuring that it is robust, scalable, and meets the specific needs of the payer domain.
In this hybrid role, you will leverage your expertise in various database technologies and cloud platforms such as Azure, GCP, and AWS to build modern data environments. Your work will involve collaborating with cross-functional teams to integrate disparate data sources, improve data quality, and support analytical initiatives. You must be adept at translating business requirements into technical specifications and have a proven track record of delivering high-quality data solutions in complex environments.
Key Requirements
Minimum of 15 years of professional experience in Data Architecture.
Must have deep expertise specifically within the Health Care Payer Domain.
Advanced proficiency with cloud platforms including Azure, GCP, and AWS.
Strong background in both relational and non-relational database design.
Extensive experience in building and optimizing scalable data pipelines.
Mastery of various data modeling tools and architectural methodologies.
Comprehensive knowledge of healthcare data standards and security regulations.
Proven ability to lead and deliver large-scale data transformation projects.
Excellent stakeholder management and technical communication skills.
Ability to work effectively in a hybrid office environment in Philadelphia.
0 Negotiable or Not Mentioned
USA, Harrisburg, PA
23 days ago
dsiginc.com
1720 Views
DSIG Inc is seeking a highly skilled and experienced Senior Data Engineer to join our team for a direct client project located in Harrisburg, PA. This role is a hybrid position, requiring the candidate to be local to the area and possess a valid Pennsylvania Driver’s License. The successful candidate will be responsible for designing, building, and maintaining robust data architectures and pipelines that support large-scale data processing. Experience with the State of Pennsylvania is a mandatory requirement for this role, as the candidate will be working closely with government-related data systems and processes. In this position, you will leverage your expertise in SQL, ETL processes, and various data warehousing technologies to ensure data integrity and availability. You will also participate in face-to-face interviews and collaborate with multi-functional teams to translate business requirements into technical solutions. We are looking for a professional who is not only technically proficient but also an excellent communicator. If you have a passion for data engineering and meet the residency and licensing requirements, we encourage you to apply by sending your resume to the provided contact.
Key Requirements
Must possess a valid Pennsylvania Driver’s License.
Mandatory experience working with the State of Pennsylvania.
Candidate must be local to Harrisburg, PA for hybrid work.
Proven experience as a Senior Data Engineer or similar role.
Expertise in designing and maintaining scalable data pipelines.
Strong proficiency in SQL and relational database management.
Experience with ETL tools and data integration techniques.
Ability to attend face-to-face interviews in Harrisburg.
Experience with cloud-based data platforms (e.g., AWS, Azure, GCP).
Bachelor's degree in Computer Science, Information Technology, or related field.
0 Negotiable or Not Mentioned
USA, Hamilton Township, NJ
58 days ago
alltechconsultinginc.com
562 Views
We are seeking a senior Azure Data Engineer to join our team and support a mission-critical financial data platform. This is a long-term contract position requiring 4 days onsite per week in Hamilton Township, NJ. The primary focus of this role is to architect, build, and maintain highly secure, scalable, and audit-ready data pipelines utilizing core Azure technologies.
Key responsibilities involve the development of robust ETL/ELT processes usi
0 Negotiable or Not Mentioned
USA, New York City
24 days ago
amaglobaltech.com
1747 Views
Ama Global Tech is seeking a skilled Data Engineer for a hybrid role located in New York City, NY. This position requires a professional who can design, build, and maintain scalable data pipelines and architectures. You will work closely with cross-functional teams to ensure data accessibility and quality, focusing on high-performance computing and cloud-based environments. The role involves a mix of remote work and onsite presence, specifically requiring local candidates capable of attending face-to-face interviews.
The ideal candidate will demonstrate mastery over the AWS ecosystem and the Databricks platform. You will be responsible for implementing data processing solutions using Spark and Python, while managing containerized applications with Docker and Kubernetes. We are looking for a proactive problem-solver who can navigate the complexities of data warehousing and data lakes to provide actionable insights for the business. A certification in Databricks Engineering is a significant plus for this position.
Key Requirements
Strong experience with AWS services including S3, Lambda, and EMR.
Proficiency in Spark and Python for complex data engineering tasks.
Solid understanding of data warehousing and data lake (DW/DH) concepts.
Hands-on experience with Docker and Kubernetes for containerized environments.
Certified Databricks Engineer is highly preferred.
Excellent troubleshooting and debugging skills to resolve technical issues.
Ability to attend a mandatory Face-to-Face (F2F) interview in New York City.
Must be a local candidate currently residing in or near New York City.
Eligible for C2C with H1 or W2 with GC/USC status.
Strong communication skills for effective team collaboration.
0 Negotiable or Not Mentioned
USA, New York
3 days ago
convextech.com
425 Views
Convex Tech Inc. is seeking a skilled Data Engineer for a hybrid role based in New York. This position requires the candidate to work onsite three days a week and participate in an onsite interview process. The successful candidate will focus on designing and implementing scalable data pipelines within the Azure ecosystem, specifically utilizing Azure Databricks and Azure Data Factory. The role involves developing robust ETL/ELT workflows using Apache Spark and PySpark DataFrames to process large datasets efficiently while ensuring optimal performance and scalability.
Beyond core pipeline development, the Data Engineer will be responsible for maintaining data governance, security, and compliance. Key tasks include implementing data quality frameworks, managing data lineage, and supporting modern Lakehouse architectures. Candidates must possess a deep understanding of SQL-based transformations and Master Data Management (MDM) concepts to ensure data consistency and integrity across the organization. This is a contract-based opportunity for 6 months or more, specifically looking for USC or GC holders ready to work in a hybrid environment.
Key Requirements
Design and implement scalable data pipelines using Azure Databricks and Azure Data Factory.
Develop and maintain robust ETL/ELT workflows using Apache Spark and PySpark DataFrames.
Build and optimize data pipelines for efficient data ingestion and processing of large datasets.
Utilize data governance tools to manage data access, security, compliance, and data lifecycle.
Implement data quality frameworks and maintain data lineage across enterprise data platforms.
Design and support modern data architecture using Lakehouse and distributed data processing.
Develop high-performance Spark and SQL-based data transformation procedures.
Apply Master Data Management (MDM) concepts to ensure data consistency and standardization.
Must be a US Citizen or Green Card holder (USC/GC only).
Willingness to work onsite in New York 3 days a week and attend an onsite interview.