Ascensus

Ascensus

Senior Data Engineer

Newton, Massachusetts, USA · Senior · full-time

Sponsorship not specified$120k-$140kDetected 148 days ago
PythonData StructuresCode ReviewSQLCI/CDPandasData AnalysisData EngineeringAgentic AICommunication

Stay score

odds of building a lasting career here

54Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

Employer immigration record

from this employer's Department of Labor filings

Third-party placement is common here

24% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 4 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: FIRST NATIONAL BANK · NYC DEPARTMENT OF EDUCATION (NYC DOT) - DIVISION OF INSTRUCTIONAL AND INFORMATION TECHNOLOGY · SOCIAL SECURITY ADMINISTRATION

Files H-1B transfers

1 transfer filing in the last year, covering 1 worker. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

No reports yet — be the first to help the next applicant.

About the role

  • As a Senior Data Engineer at Ascensus, you will enable data-driven decision making by collecting, transforming and visualizing the data.
  • You will be part of the Enterprise Information Management (EIM) team.
  • Use Artificial Intelligence to accellerate development of ETL components and Data Analysis.

Responsibilities

  • You will design, build, maintain and troubleshoot data processing systems with emphasis on security, reliability, fault-tolerance, scalability, fidelity, and efficiency.
  • Our I-Client service philosophy and our Core Values of People Matter, Quality First and Integrity Always should be visible in your actions on a day to day basis showing your support of our organizational culture.
  • Implement and troubleshoot deployments.
  • Design and build data replication services and Change Data Capture (CDC) processes to incrementally update data in the data warehouse / data marts from Ascensus systems of record.
  • Build and maintain ETL solutions and platform.
  • Participate in creating long term ETL application support model.
  • Data Warehouse and Data Marts Develop technical standards and specifications addressing performance, security and orchestration of ETL and data warehouse / mart management.

Requirements

  • Ascensus is the leading independent technology and service platform powering savings plans across America, providing products and expertise that help nearly 16 million people save for a better today and tomorrow.

Skills

  • Experience with python for data manipulation and analysis, IE.
  • Pandas, PySpark Experience with data modeling using IDERA's Embarcadero ER/Studio Data Architect.
  • Experience with PowerBI or similar data reporting platforms is a plus.
  • Experience with CI/CD for database deployments utilizing Liquibase or similar CI/CD tool a plus.
  • This base salary range represents the low and high end of the salary range for this position.
  • Other rewards and benefits may include:
  • 401(k) match, Medical, Dental, Vision, Paid-Time-Off, etc.
  • For more information, please visit careers.ascensus.com/#Benefits.
  • Be aware of employment fraud.
  • All email communications from Ascensus or its hiring managers originate from @ascensus.com or @futureplan.com email addresses.

Compensation

  • $120k-$140k

This listing is sourced directly from Ascensus's careers page and normalized into a canonical job model.